Publications

Journal Papers

  1. Feng Ye, Xianghui Cao, Lin Cai, and Mo-Yuen Chow, ‘False Noise Attack Detection for differentially-private distributed control of microgrids’, Automatica, vol. 179, p. 112387, 2025.
  2. Liping Chen, Yuxin Tao, Antonio Lopes, Mo-Yuen Chow and YangQuan Chen, “Safety-Optimized Fast Charging of Lithium-ion Battery Based on Distributional SAC-Conservative Augmented Lagrangian SDRL Algorithm,” in IEEE Transactions on Vehicular Technology, doi: 10.1109/TVT.2025.3551661.
  3. Jilun Tian, Jiale Xie, Jiusi Zhang, Congsheng Huang, Yuchen Jiang, Hao Luo, Mo-Yuen Chow and Shen Yin , “A Transfer Gated Recurrent Unit Model for Battery Health Monitoring Under Cross-Domain Conditions,” in IEEE Transactions on Instrumentation and Measurement, vol. 74, pp. 1-12, 2025, Art no. 3516612, doi: 10.1109/TIM.2025.3548227.
  4. Shanying Zhu, Tao Ding, Cailian Chen, Mo-Yuen Chow and Xinping Guan, “DEED-ADMM: A Scalable Distributed Algorithm for Economic Dispatch in Multi-Energy Systems With Energy Storage,” in IEEE Transactions on Automation Science and Engineering, vol. 22, pp. 11431-11443, 2025, doi: 10.1109/TASE.2025.3534171.
  1. Yifan Wang, Shuai Liu, Xianghui Cao and Mo-Yuen Chow, “An Operator Splitting Scheme for Distributed Optimal Load-Side Frequency Control With Nonsmooth Cost Functions,” in IEEE Transactions on Automatic Control, vol. 69, no. 9, pp. 6442-6449, Sept. 2024, doi: 10.1109/TAC.2024.3384341.
  2. Haoran Deng, Bo Yang, Mo-Yuen Chow, Dafeng Zhu, Gang Yao, Cailian Chen, Xinping Guan and Dipti Srinivasan, “A Decision-Dependent Hydrogen Supply Infrastructure Planning Approach Considering Causality Between Vehicles and Stations,” in IEEE Transactions on Sustainable Energy, vol. 15, no. 3, pp. 1914-1932, July 2024, doi: 10.1109/TSTE.2024.3388274.
  3. Zhenyong Zhang, Mengxiang Liu, Mingyang Sun, Ruilong Deng, Peng Cheng, Dusit, Niyato, Mo-Yuen Chow and Jiming Chen, “Vulnerability of Machine Learning Approaches Applied in IoT-Based Smart Grid: A Review,” in IEEE Internet of Things Journal, vol. 11, no. 11, pp. 18951-18975, June 1, 2024, doi: 10.1109/JIOT.2024.3349381.
  4. Dongxiang Yan, Mo-Yuen Chow and Yue Chen, “Low-Carbon Operation of Data Centers With Joint Workload Sharing and Carbon Allowance Trading,” in IEEE Transactions on Cloud Computing, vol. 12, no. 2, pp. 750-761, April-June 2024, doi: 10.1109/TCC.2024.3396476.
  5. Feng Ye, Xianghui Cao, Mo-Yuen Chow and Lin Cai, “Privacy-Preserving Average Consensus: Fundamental Analysis and a Generic Framework Design,” in IEEE Transactions on Information Theory, vol. 70, no. 4, pp. 2870-2885, April 2024, doi: 10.1109/TIT.2024.3370311.
  1. Feng Ye, Xianghui Cao, Zheyuan Cheng and Mo-Yuen Chow, “CASL: A Novel Collusion Attack Against Distributed Energy Management Systems,” in IEEE Transactions on Smart Grid, vol. 14, no. 6, pp. 4717-4728, Nov. 2023, doi: 10.1109/TSG.2023.3251401.
  2. Yuan Yao, Yinliang Xu and Mo-Yuen Chow, “Distributed Optimal Dynamic Communication Paths Planning for PMUs in the WAMS Communication Network,” in IEEE Transactions on Industrial Informatics, vol. 19, no. 9, pp. 9609-9618, Sept. 2023, doi: 10.1109/TII.2022.3231411.
  3. Z. Zhang (ZJU), M. Liu, M. Sun, R. Deng, P. Cheng, J. Chen, D. Niyato and M. -Y. Chow, “Vulnerability of Machine Learning Approaches Applied in IoT-based Smart Grid: A Review”, 2023 (Preprint). (collaboration with Zhejiang University)
  4. F. Ye (SEU), X. Cao, Z. Cheng (NCSU) and M. -Y. Chow, “CASL: A Novel Collusion Attack Against Distributed Energy Management Systems,” in IEEE Transactions on Smart Grid, vol. 14, no. 6, pp. 4717-4728, Nov. 2023, doi: 10.1109/TSG.2023.3251401. (collaboration with South East University)
  5. Y. Yao (THU), Y. Xu and M. Chow, “Distributed Optimal Dynamic Communication Paths Planning for PMUs in the WAMS Communication Network,” in IEEE Transactions on Industrial Informatics, vol. 19, no. 9, pp. 9609-9618, Sept. 2023, doi: 10.1109/TII.2022.3231411. (collaboration with Tsinghua University – Shenzhen)
  6. C. Gong (U Macau), Z. Cheng (NCSU), W. -K. Sou, C. -S. Lam and M. -Y. Chow, “Collaborative Distributed Optimal Control of Pure and Hybrid Active Power Filters in Active Distribution Network,” in IEEE Transactions on Power Delivery, vol. 38, no. 4, pp. 2326-2337, Aug. 2023, doi: 10.1109/TPWRD.2023.3240462. (collaboration with Macau University)
  7. A. Joshi, S. Capezza, A. Alhaji (NCSU) and M. -Y. Chow, “Survey on AI and Machine Learning Techniques for Microgrid Energy Management Systems,” in IEEE/CAA Journal of Automatica Sinica, vol. 10, no. 7, pp. 1513-1529, July 2023, doi: 10.1109/JAS.2023.123657.
  8. Z. Zhang (ZJU), R. Deng, D. K. Y. Yau, P. Cheng and M. -Y. Chow, “Security Enhancement of Power System State Estimation With an Effective and Low-Cost Moving Target Defense,” in IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 53, no. 5, pp. 3066-3081, May 2023, doi: 10.1109/TSMC.2022.3222793. https://ieeexplore.ieee.org/document/9966327
  9. J. Zhang (HIT), C. Huang (NCSU), M. -Y. Chow, X. Li, J. Tian, H. Luo and S. Yin, “A Data-model Interactive Remaining Useful Life Prediction Approach of Lithium-ion Batteries Based on PF-BiGRU-TSAM,” in IEEE Transactions on Industrial Informatics, doi: 10.1109/TII.2023.3266403. https://ieeexplore.ieee.org/document/10098908 (collaboration with Harbin Institute of Technology)
  10. H. Kim, B. Balagopal (NCSU), S. Kerrigan, N. Garcia , M.-Y Chow , M. Bourham , T. Fang and X. Jiang , ‘Noninvasive liquid level sensing with laser generated ultrasonic waves’, Ultrasonics, vol. 130, p. 106926, 2023. https://www.sciencedirect.com/science/article/abs/pii/S0041624X23000021
  1. Z. Zhang (ZJU), R. Deng, P. Cheng and M. -Y. Chow, “Strategic Protection Against FDI Attacks With Moving Target Defense in Power Grids,” in IEEE Transactions on Control of Network Systems, vol. 9, no. 1, pp. 245-256, March 2022, doi: 10.1109/TCNS.2021.3100411. (collaboration with Zhejiang University)
  2. Z. Cheng (NCSU) and M. -Y. Chow, “Resilient Collaborative Distributed AC Optimal Power Flow Against False Data Injection Attacks: A Theoretical Framework,” in IEEE Transactions on Smart Grid, vol. 13, no. 1, pp. 795-806, Jan. 2022, doi: 10.1109/TSG.2021.3113287.
  3. Z. Zhang, R. Deng, D. K. Y. Yau, P. Cheng, M.-Y. Chow, “Security Enhancement of Power System State Estimation With An Effective and Low-cost Moving Target Defense,” in IEEE Transactions on Systems, Man, and Cybernetics: Systems, Early Access, Nov 30, 2022, Print ISSN: 2168-2216, Online ISSN: 2168-2232, Digital Object Identifier: 10.1109/TSMC.2022.3222793.
  4. Z. Zhang, M. Sun, R. Deng, C. Kang and M. -Y. Chow, “Physics-Constrained Robustness Verification of Intelligent Security Assessment for Power Systems,” in IEEE Transactions on Power Systems, doi: 10.1109/TPWRS.2022.3169139.
  5. Z. Cheng and M. -Y. Chow, “Resilient Collaborative Distributed AC Optimal Power Flow Against False Data Injection Attacks: A Theoretical Framework,” in IEEE Transactions on Smart Grid, vol. 13, no. 1, pp. 795-806, Jan. 2022, doi: 10.1109/TSG.2021.3113287.
  1. C. -S. Huang, Z. Cheng and M. -Y. Chow, “A Robust and Efficient State-of-Charge Estimation Methodology for Serial-connected Battery Packs: Most Significant Cell Methodology,” in IEEE Access, doi: 10.1109/ACCESS.2021.3081619.
  2. C. -S. Huang and M. -Y. Chow, “Robust State-of-Charge Estimation for Lithium-ion Batteries over Full SOC Range,” in IEEE Journal of Emerging and Selected Topics in Industrial Electronics, doi: 10.1109/JESTIE.2021.3078253.
  3. Z. Cheng and M. -Y. Chow, “Collaborative Distributed AC Optimal Power Flow: A Dual Decomposition Based Algorithm,” in Journal of Modern Power Systems and Clean Energy, doi: 10.35833/MPCE.2020.000395.
  4. O. Lucia et al., “Emerging Trends in Industrial Electronics: A Cross-Disciplinary View,” in IEEE Industrial Electronics Magazine, vol. 15, no. 1, pp. 127-139, March 2021, doi: 10.1109/MIE.2020.3032942.
  1. Z. Cheng, and M. Chow, “A Novel Dual Decomposition based Collaborative Distributed AC Optimal Power Flow,” Journal of Modern Power Systems and Clean Energy, 2020, in press.
  2. B. Balagopal and M.-Y. Chow, “The Physical Manifestation of Side Reactions in the Electrolyte of Lithium-Ion Batteries and Its Impact on the Terminal Voltage Response,” Batteries, vol. 6, no. 4, p. 53, Oct. 2020 [Online]. Available: http://dx.doi.org/10.3390/batteries6040053
  3. J. Duan and M. Chow, “Robust Consensus-Based Distributed Energy Management for Microgrids With Packet Losses Tolerance,” in IEEE Transactions on Smart Grid, vol. 11, no. 1, pp. 281-290, Jan. 2020. doi: 10.1109/TSG.2019.2921231
  4. J. Zhou, Y. Xu, H. Sun, Y. Li and M. Chow, “Distributed Power Management for Networked AC–DC Microgrids With Unbalanced Microgrids,” in IEEE Transactions on Industrial Informatics, vol. 16, no. 3, pp. 1655-1667, March 2020. doi: 10.1109/TII.2019.2925133
  5. Z. Yi, Y. Xu, J. Hu, M. Chow and H. Sun, “Distributed, Neurodynamic-Based Approach for Economic Dispatch in an Integrated Energy System,” in IEEE Transactions on Industrial Informatics, vol. 16, no. 4, pp. 2245-2257, April 2020. doi: 10.1109/TII.2019.2905156
  6. J. Zhou, Y. Xu, H. Sun, L. Wang and M. Chow, “Distributed Event-Triggered $H_{\infty}$ Consensus Based Current Sharing Control of DC Microgrids Considering Uncertainties,” in IEEE Transactions on Industrial Informatics. doi: 10.1109/TII.2019.2961151
  7. Z. Cheng, and M. Chow, “Resilient Collaborative Distributed AC Optimal Power Flow against False Data Injection Attacks: A Theoretical Framework,” IEEE Transaction on Smart Grid, in review, 2020.
  8. Z. Cheng, and M. Chow, “A Novel Dual Decomposition based Collaborative Distributed AC Optimal Power Flow,” Journal of Modern Power Systems and Clean Energy, 2020, in review, 2020.
  9. Z. Cheng and M. Chow, “Resilient Collaborative Distributed Energy Management System Framework for Cyber-physical DC Microgrids,” in IEEE Transactions on Smart Grid, doi: 10.1109/TSG.2020.3001059.
  10. C.-S. Huang, M.-Y. Chow, “Robust State-of-Charge Estimation for Lithium-ion Batteries over Full SOC Range,” in IEEE Journal of Emerging and Selected Topics in Industrial Electronics, in review, 2020.
  11. T. Vu, B. Nguyen, Z. Cheng, M. Chow, and B. Zhang, “Cyber-Physical Microgrids: Toward Future Resilient Communities,” in IEEE Industrial Electronics Magazine, in press, 2020.
  1. J. Duan and M. Chow, “A Novel Data Integrity Attack on Consensus-Based Distributed Energy Management Algorithm Using Local Information,” in IEEE Transactions on Industrial Informatics, vol. 15, no. 3, pp. 1544-1553, March 2019.
  2. Y. Xu, W. Zhang, M. Chow, H. Sun, H. B. Gooi and J. Peng, “A Distributed Model-Free Controller for Enhancing Power System Transient Frequency Stability,” in IEEE Transactions on Industrial Informatics, vol. 15, no. 3, pp. 1361-1371, March 2019. doi: 10.1109/TII.2018.2856835
  3. J. Duan and M. Chow, “A Resilient Consensus-Based Distributed Energy Management Algorithm Against Data Integrity Attacks,” in IEEE Transactions on Smart Grid, vol. 10, no. 5, pp. 4729-4740, Sept. 2019. doi: 10.1109/TSG.2018.2867106
  4. I. Khan, Y. Xu, S. Kar, M. Chow and V. Bhattacharjee, “Compressive Sensing and Morphology Singular Entropy-Based Real-Time Secondary Voltage Control of Multiarea Power Systems,” in IEEE Transactions on Industrial Informatics, vol. 15, no. 7, pp. 3796-3807, July 2019. doi: 10.1109/TII.2018.2881218
  5. L. An, J. Duan, M. Chow and A. Duel-Hallen, “A Distributed and Resilient Bargaining Game for Weather-Predictive Microgrid Energy Cooperation,” in IEEE Transactions on Industrial Informatics, vol. 15, no. 8, pp. 4721-4730, Aug. 2019. doi: 10.1109/TII.2019.2907380
  1. J. Hu, J. Duan, H. Ma and M. Chow, “Distributed Adaptive Droop Control for Optimal Power Dispatch in DC Microgrid,” in IEEE Transactions on Industrial Electronics, vol. 65, no. 1, pp. 778-789, Jan. 2018. doi: 10.1109/TIE.2017.2698425
  2. Z. Cheng, J. Duan and M. Chow, “To Centralize or to Distribute: That Is the Question: A Comparison of Advanced Microgrid Management Systems,” in IEEE Industrial Electronics Magazine, vol. 12, no. 1, pp. 6-24, March 2018.
  3. “Modeling, Control, and Integration of Energy Storage Systems in E-Transportation and Smart Grid,” in IEEE Transactions on Industrial Electronics, vol. 65, no. 8, pp. 6548-6551, Aug. 2018. doi: 10.1109/TIE.2018.2810658
  1. H. Yin, C. Zhao, M. Li, C. Ma, and M.-Y. Chow, “A Game Theory Approach to Energy Management of An Engine-Generator/Battery/Ultracapacitor Hybrid Energy System,” IEEE Transaction on Industrial Electronics, Accepted on 2016-01-26.
  2. J. Qiu, H. Gao, and M.-Y. Chow, “Networked Control and Industrial Applications,” IEEE Transactions on Industrial Electronics, vol. 63, pp. 1203-1206, February 2016.
  3. N. Rahbari-Asr, Y. Zhang, and M.-Y. Chow, “Consensus-based distributed scheduling for cooperative operation of distributed energy resources and storage devices in smart grids”, IET Generation, Transmission & Distribution, 2016, DOI: 10.1049/iet-gtd.2015.0159
  4. Y. Zhang, N. R. Asr, and M.-Y. Chow, “A Robust Distributed System Incremental Cost Estimation Algorithm for Smart Grid Economic Dispatch with Communications Information Losses,” Journal of Network and Computer Applications, vol. 59, pp. 315-324, Jan 2016.
  1. M. A. Salmani, N. Rahbari-Asr, C. S. Edrington, and M.-Y. Chow, “Online and Offline Stability Analysis Methods for the Power Electronic-based Components in Design and Operational Stages ” IEEE Transactions on Power Electronics, vol. accepted for publication on May 15, pp. 1-14, 2015.
  2. Angel Cuenca; Unnati Ojha; Julián Salt; Mo-Yuen Chow, “A non-uniform multi-rate control strategy for a Markov chain-driven Networked Control System,” Information Sciences, pp. 31-47, DOI information: 10.1016/j.ins.2015.05.035, May 2015.
  1. N. Rahbari-Asr, U. Ojha, Z. Zhang, and M.-Y. Chow, “Incremental Welfare Consensus Algorithm for Cooperative Distributed Generation/Demand Response in Smart Grid,” IEEE Transactions on Smart Grid, vol.5, no.6, pp.2836-2845, Nov. 2014.
  2. W. Zeng and M.-Y. Chow, “A Reputation-based Secure Distributed Control Methodology in D-NCS,” IEEE Transactions on Industrial Electronics, vol. forth coming, Feb (accepted for publication) 2014.
  3. W. Zeng and M.-Y. Chow, “Resilient Distributed Control in the presence of Misbehaving Agents in Networked Control Systems,” IEEE Transactions on Cybernetics B, vol. forth coming, Feb (accepted for publication) 2014.
  4. N. Rahbari-Asr and M.-Y. Chow, “Cooperative Distributed Demand Management for Community Charging of PHEV/PEVs Based on KKT Conditions and Consensus Networks,” IEEE Transactions on Industrial Informatics, vol. forth coming, accepted on 2014 January., 2014.
  5. R. Deng, Z. Yang, J. Chen, N. Rahbari-Asr, and M.-Y. Chow, “Residential Energy Consumption Scheduling: A Coupled-Constraint Game Approach,” IEEE Transactions on Smart Grid, accepted for publication on Oct 22, 2013.
  6. H. Rahimi-Eichi, F. Baronti, and M.-Y. Chow, “Online Adaptive Parameters Identification and ‎SOC Co-Estimation for Li-Polymer Battery ‎Cells,” IEEE Transaction on Industrial Electronics, vol. 61, pp. 2053-2061, 2014.
  1. J. Rodríguez-Araújo, J. J. Rodríguez-Andina, J. Fariña, and M.-Y. Chow, “Field-Programmable System-on-Chip for Localization of UGVs in an Indoor iSpace,” IEEE Transactions on Industrial Informatics, vol. accepted for publication, Nov 20 2013.
  2. W. Zeng and M.-Y. Chow, “Modeling and Optimizing the Performance-security Trade-off in D-NCS using the Coevolutionary Paradigm,” IEEE Transactions on Industrial Informatics, Special Section on Advances in Theories and Industrial Applications of Networked Control Systems, vol.9, no.1, pp.394-402, 2013.
  1. Z. Zhang and M.-Y. Chow, “The Convergence Analysis of Incremental Cost Consensus Algorithm under Different Communication Network Topologies in a Smart Grid,” IEEE Transactions on Power Systems, vol. 27, no. 4, pp. 1761 – 1768, Nov, 2012.
  2. W. Zeng and M.-Y. Chow, “Optimal Trade-off between Performance and Security in Networked Control Systems based on Coevolutionary Algorithms,” IEEE Transactions on Industrial Electronics, vol. 59, pp. 3016 – 3025, 2012.
  3. W. Su and M.-Y. Chow, “Computational Intelligence-based Energy Management for a Large-scale PHEV/PEV Enabled Municipal Parking Deck,” Applied Energy, vol. 96, pp. 171-182, August 2012.
  4. W. Su, H. Eichi, W. Zeng, and M.-Y. Chow, “A Survey on the Electrification of Transportation in a Smart Grid Environment,” IEEE Transactions on Industrial Informatics, vol. 8, no. 1, pp. 1-10, 2012.
  1. Y. Cai and M.-Y. Chow, “Cause-Effect Modeling and Spatial-Temporal Simulation of Power Distribution Fault Events,” IEEE Transactions on Power Systems, vol. 26, no. 2, pp. 794 – 801, May 2011.
  2. H. Li, Z. Sun, M.-Y. Chow, and F. Sun, “Gain Scheduling-Based State Feedback Integral Control for Networked Control Systems,” IEEE Transactions on Industrial Electronics, vol. 58, no. 6, June 2011.
  1. R. A. Gupta and M.-Y. Chow, “Networked Control Systems: Overview and Research Trends,” IEEE Transactions on Industrial Electronics, vol. 57, no. 7, pp. 2527 – 2535 July 2010.
  2. Y. Cai, M.-Y. Chow, W. Lu, and L. Li, “Statistical Feature Selection from Massive Data in Distribution Fault Diagnosis,” IEEE Trans. Power System, vol. 25, pp. 642-648, 2010.
  3. R. A. Gupta, A. Masoud, and M.-Y. Chow, “A Delay-tolerant, Potential field-based, Network Implementation of an Integrated Navigation System,” IEEE Transactions on Industrial Electronics, vol. 57, no. 2, Feb 2010, pp. 769-783.
  4. X. Z. Gao, S. J. Ovaska, X. Wang, and M.-Y. Chow, “Multi-level optimization of negative selection algorithm detectors with application in motor fault detection,” Intelligent Automation and Soft Computing, vol. 16, 2010, pp. 353-375.
  5. H. Li, M.-Y. Chow, and Z. Sun, “State Feedback Stabilization of Networked Control Systems,” IET Control Theory & Applications, vol.3, no.7, July 2009, pp. 929-940.
  6. X.-Z. Gao, M.-Y. Chow, D. Pelta, and J. Timmis, “Editorial: Theory and Applications of Artificial Immune Systems, “Neural Computing & Applications, accepted for publication, May 2009.
  7. R. A. Gupta, A. Masoud, and M.-Y. Chow, “A Delay-tolerant, Potential field-based, Network Implementation of an Integrated Navigation System,” accepted for publications in IEEE Transactions on Industrial Electronics, May, 2009.
  8. H. Li, M.-Y. Chow, and Z. Sun, “EDA-Based Speed Control of a Networked DC Motor System With Time Delays and Packet Losses,” IEEE Transactions on Industrial Electronics, vol. 56, pp. 1727-1735, 2009, pp. 1727-1735.
  9. X.-Z. Gao, S. J. Ovaska, X. Wang, and M.-Y. Chow, “Clonal Optimization-based Negative Selection Algorithm with Applications in Motor Fault Detection,” Neural Computing and Applications, accepted for publication April 22 2009.
  10. R. A. Gupta and M.-Y. Chow, “Networked Control Systems: Overview and Research Trends,” IEEE Transactions on Industrial Electronics, accepted for publication with minor revision, March 2009.
  11. M.-Y. Chow, S. Chiaverini, and C. Kitts, “Guest Editorial on Focused Section on Mechatronics in Multi Robot Systems,” IEEE Transactions on Mechatronics, vol. 14, pp. 133-140, April 2009, pp. 133-140.
  12. H. Li, M.-Y. Chow, and Z. Sun, “State Feedback Stabilization of Networked Control Systems,” IET Control Theory & Applications, vol., accepted for publication on Nov 15 2008.
  13. H. Li, M.-Y. Chow, and Z. Sun, “Optimal Stabilizing Gain Selection for Networked Control Systems With Time Delays and Packet Losses,” IEEE Transactions on Control Systems Technology, accepted for publication, Sept. 2008.
  14. B. Ayhan, H. J. Trussell, M.-Y. Chow, and M.-H. Song, “On the use of a lower sampling rate for broken rotor bar detection with DTFT and AR based spectrum methods,” IEEE Transaction on Industrial Electronics, vol 55, no. 3, March 2008, pp. 1421-1434.
  15. Hongbo Li, Zengqi Sun, Mo-Yuen Chow, and Huaping Liu, “Output Feedback Control for a Class of Networked Control Systems,” accepted for publication in Asian Journal of Control, October, 2007.
  16. X.-Z. Gao, S. J. Ovaska, X. Wang, M.-Y. Chow, “A neural networks-based negative selection algorithm in fault diagnosis,” accepted for publication in Journal of Neural Computing and Applications, Feb. 16, 2007.
  17. L. Xu, M.-Y. Chow, and L. S. Taylor, “Power Distribution Fault Cause Identification with Imbalanced Data Using the Data Mining Based Fuzzy Classification E-Algorithm,” IEEE Transaction on Power Systems, vol. 22, no. 1, Feb. 2007, pp. 164-171.
  18. L. Xu, M.-Y. Chow, and L. S. Taylor, “Power Distribution Fault Cause Identification with Imbalanced Data Using Artificial Immune Recognition System (AIRS) Algorithm,” IEEE Transaction on Power Systems, vol. 22, no. 1, Feb. 2007, pp. 198-204.
  19. B. Ayhan, M.-Y. Chow, and M.-H. Song, “Multiple Discriminant Analysis and Neural-Network-Based Monolith and Partition Fault-Detection Schemes for Broken Rotor Bar in Induction Motors,” IEEE Transactions on Industrial Electronics, vol. 53, no. 4, pp. 1298-1308, 2006.
  20. L. Xu and M.-Y. Chow, “A classification approach for power distribution systems fault cause identification,” IEEE Transactions on Power Systems, vol. 21, no. 1, pp. 53-60, 2006.
  1. B. Ayhan, M.-Y. Chow, and M.-H. Song, “Monolith and Partition Schemes with LDA and Neural Networks as Detector Units for Induction Motor Broken Rotor Bar Fault Detection,” KIEE International Transactions on Electrical Machinery and Energy Conversion Systems, June 1, 2005 (invited).
  2. B. Ayhan, M.-Y. Chow, and M.-H. Song, “Multiple Signature Processing Based Fault Detection Schemes for Broken Rotor Bar in Induction Motors,” IEEE Transactions on Energy Conversion, vol. 20, no. 2, June, 2005, pp. 336 – 343.
  3. M. A. Sheik-Nainar, D. B. Kaber and M.-Y. Chow, “Control Gain Adaptation in Virtual Reality Mediated Human-Telerobot Interaction,” Journal of Human Factor & Ergonomics in Manufacturing (HF&EM), vol. 15, no. 3, May, 2005, pp. 259-274.
  4. Y. Tipsuwan, and M.-Y. Chow, Analysis and Training of Compensation Neural Model for System Dynamics Modeling. Journal of Research in Engineering and Technology, vol. 2, no. 1, p. 28-43, 2005.
  5. Y. Tipsuwan, and M.-Y. Chow, “Gain scheduler middleware: A methodology to enable existing controllers for networked control and teleoperation: PART I: Networked control,” IEEE Transactions on Industrial Electronics, December, 2004.
  6. Y. Tipsuwan, and M.-Y. Chow, “Gain scheduler middleware: A methodology to enable existing controllers for networked control and teleoperation: PART II: teleoperations,” IEEE Transactions on Industrial Electronics, December, 2004.
  7. M. Chow, “Guest Editorial on The Special Section on Distributed Network-Based Control Systems and Applications,” IEEE Transactions on Industrial Electronics, Vol. 51, No. 6, 2004, pp. 1-2.
  8. Y. Tipsuwan, M.-Y. Chow, “On the Gain Scheduling for Networked PI Controller Over IP Network,” IEEE Transactions on Mechatronics, Vol. 9, no. 3, September 2004, pp. 491-498.
  9. M.-Y. Chow, Y. Tipsuwan, “Gain Adaptation of Networked Dc Motor Controllers on QoS Variations,” IEEE Transactions on Industrial Electronics, Vol. 50, no. 5, October, 2003.
  10. Y. Tipsuwan and M.-Y. Chow, “Control Methodologies in Networked Control Systems,” Control Engineering Practice,” vol. 11, 2003, pp.1099-1111.
  11. A. L. Nelson and M.-Y. Chow, “Characterization of coil faults in an axial flux variable reluctance PM motor,” IEEE Transactions on Energy Conversion, vol. 17, pp. 340-348, 2002.
  1. M.-Y. Chow, “Special section on motor fault detection and diagnosis,” IEEE Transactions on Industrial Electronic, vol. 46, no. 5, pp. 982-983, October2000.
  2. B. Li, M.-Y. Chow, Y. Tipsuwan, J. C. Hung, “Neural Network Based Motor Vibration Signal Analysis, Fault Detection, and Diagnosis,” IEEE Transactions on Industrial Electronics Special Issue on Motor Fault Detection and Diagnosis, October, 2000. (invited)
  3. M.-Y. Chow, S. Altug, and H. J. Trussell, “Heuristic Constraints Enforcement for Training of and Knowledge Extraction from a Fuzzy/Neural Architecture, Part I: Foundation,” IEEE Transactions on Fuzzy Systems, vol. 7, no. 2, pp. 143-150, April, 1999.
  4. S. Altug, M.-Y. Chow, and H. J. Trussell, “Heuristic Constraints Enforcement for Training of and Knowledge Extraction from a Fuzzy/Neural Architecture, Part II: Implementation and Application,” IEEE Transactions on Fuzzy Systems, vol. 7, no. 2, pp. 151-159, April 1999.
  5. S. Altug, H. J. Trussell, and M.-Y. Chow, “A Mutual Update Training Algorithm for Fuzzy Adaptive Logic Control/Decision Network (FALCON),” IEEE Trans. on Neural Networks, Vol. 10, No. 1, pp. 196-198, 1999.
  6. S. Altug, M.-Y. Chow, and H. J. Trussell, “Fuzzy Inference Systems Implemented on Neural Architectures for Motor Fault Detection and Diagnosis,” IEEE Transactions on Industrial Electronics, December, 1999.
  7. J. Zhu, G. Bilbro, and M.-Y. Chow, “Phase Balancing using Simulated Annealing,” IEEE Transactions on Power Systems, October, 1998.
  8. M.-Y. Chow, J. Zhu, and H. Tram, “Application of Fuzzy Multi-Objective Decision Making in Spatial Load Forecasting,” IEEE Transactions on Power Systems, vol. 13, no. 3, 1998, pp. 1185-1190.
  9. J. Teeter and M.-Y. Chow, “Application of Functional Link Neural Network to HVAC Thermal Dynamic System Identification,” IEEE Transactions on Industrial Electronics, vol. 45, no. 1, pp. 170-176, 1998.
  10. M.-Y. Chow and H. Tram, “Methodology of Urban Re-Development Considerations in Spatial Load Forecasting,” IEEE Transactions on Power Systems, 1997.
  11. M.-Y. Chow and H. Tram, “Applications of Fuzzy Logic Technology for Spatial Load Forecasting,” IEEE Transactions on Power Systems, vol. 12, no. 3, pp. 1360-1366, 1997.
  12. J. Zhu, M.-Y. Chow, and F. Zhang, “Phase Balancing Using Mixed-Integer Programming,” IEEE Transactions on Power Systems, vol. 13, no. 4, November 1998, pp. 1487-1492.
  13. J. Zhu and M.-Y. Chow, “A Review of Emerging Techniques on Generation Expansion Planning,” IEEE Transactions on Power Systems, vol. 12, no. 4, pp. 1722-1728, 1997.
  14. M.-Y. Chow, L. S. Taylor, and M.-S. Chow, “Time of outage restoration analysis in distribution systems,” IEEE Transactions on Power Delivery, vol. 11, no. 3, pp. 1652-1658, 1996.
  15. J. T. Teeter, M.-Y. Chow, and J. J. B. Jr., “A Novel Fuzzy Friction Compensation Approach to Improve the Performance of a DC Motor Control System,” IEEE Transactions on Industrial Electronics, vol. 43, no. 1, pp. 113-120, 1996.
  1. M.-Y. Chow and L. S. Taylor, “Analysis and prevention of animal-caused faults in power distribution systems,” IEEE Transaction on Power Delivery, vol. 10, no. 2, pp. 995-1001, 1995.
  2. M.-Y. Chow and J. Teeter, “A Knowledge-Based Approach for Improved Neural Network Control of a Servomotor System with Nonlinear Friction Characteristics,” Mechatronics, vol. 5, no. 8, pp. 949-962, 1995. (invited)
  3. P. V. Goode and M.-Y. Chow, “Using a Neural/Fuzzy System to Extract Knowledge of Incipient Fault in Induction Motors Part I – Methodology,” IEEE Transactions on Industrial Electronics, vol. 42, no. 2, pp. 131-138, 1995.
  4. P. V. Goode and M.-Y. Chow, “Using a Neural/Fuzzy System to Extract Knowledge of Incipient Fault in Induction Motors Part II – Application,” IEEE Transactions on Industrial Electronics, vol. 42, no. 2, pp. 139-146, 1995.
  5. R. N. Sharpe and M.-Y. Chow, “Relationship between Fuzzy Logic Approach and Steepest Decent Approach to Optimize an Artificial Neural Network Configuration,” International Journal of Neural Systems, 1995.
  6. R. N. Sharpe, M.-Y. Chow, S. Briggs, and L. Windingland, “A Methodology Using Fuzzy Logic to Optimize Feedforward Artificial Neural Network Configurations,” IEEE Transactions on Systems, Man, and Cybernetics, vol. 24, no. 5, pp. 760-768, 1994.
  7. M.-Y. Chow and L. S. Taylor, “A Novel Approach for Distribution Fault Analysis,” IEEE Transactions on Power Delivery, vol. 8, no. 4, pp. 1882-1889, 1993.
  8. M.-Y. Chow, S. O. Yee, and L. S. Taylor, “Recognizing Animal-Caused Faults in Power Distribution Systems Using Artificial Neural Networks,” IEEE Transactions on Power Delivery, vol. 8, no. 3, pp. 1268-1274, 1993.
  9. M.-Y. Chow, R. N. Sharpe, and J. C. Hung, “On the Application and Design of Artificial Neural Networks for Motor Fault Detection – Part II,” IEEE Transactions on Industrial Electronics, vol. 40, no. 2, pp. 189-197, 1993. (invited)
  10. M.-Y. Chow, R. N. Sharpe, and J. C. Hung, “On the Application and Design of Artificial Neural Networks for Motor Fault Detection – Part I,” IEEE Transactions on Industrial Electronics, vol. 40, no. 2, pp. 181-188, 1993. (invited)
  11. M.-Y. Chow and S. O. Yee, “A Measure of Relative Robustness for Feedforward Neural Networks Subject to Small Input Perturbations,” International Journal of Neural Systems, vol. 3, no. 3, pp. 291-299, 1992.
  12. M.-Y. Chow and S. O. Yee, “Using Neural Networks to Detect Incipient Faults in Induction Motors,” Journal of Neural Network Computing, vol. 2, no. 3, pp. 26-32, 1991.
  13. M.-Y. Chow, P. M. Mangum, and S. O. Yee, “A Neural Network Approach to Real-Time Condition Monitoring of Induction Motors,” IEEE Transactions on Industrial Electronics, vol. 38, no. 6, pp. 448-453, 1991.
  14. M.-Y. Chow, G. Bilbro, and S. O. Yee, “Application of Learning Theory to a Single Phase Induction Motor Incipient Fault Detection Artificial Neural Network,” International Journal of Neural Systems, vol. 2, no. 1&2, pp. 91-100, 1991.
  15. M.-Y. Chow and R. J. Thomas, “Constant Torque Control of a Variable Reluctance Machine,” The International Journal of Energy Systems, vol. 11, no. 1, pp. 47-51, 1991.
Conference Papers
  1. Aditya Joshi, Tianfu Wu and Mo-Yuen Chow, “Hierarchical Ensemble Based Clustering For Networked Microgrids” in IECON 2025- 51st Annual Conference of the IEEE Industrial Electronics Society, 2025.(accepted)
  2. Hengrui Tian, Aditya Joshi, and Mo-Yuen Chow, “Impact of Communication Link Failures on Distributed Energy Management in Disaster Relief Microgrids ” in IECON 2025- 51st Annual Conference of the IEEE Industrial Electronics Society, 2025.(accepted)
  3. Ahmad ALhaji, Alexandra Duel-Hallen and Mo-Yuen Chow, “Weight Matrix Construction for Distributed Consensus Algorithm in Water-Energy Nexus: Convergence and Robustness,” in IECON 2025- 51st Annual Conference of the IEEE Industrial Electronics Society, 2025.(accepted)
  4. Ziqi Wang and Mo-Yuen Chow, “Battery Modeling of SEI and Metal Dendrite Growth: A Transmission Line Circuit Framework with Genetic Algorithm-Identified Parameters ,” 2025 IEEE 20th Conference on Industrial Electronics and Applications (ICIEA).(accepted)
  5. Skieler Capezza and Mo-Yuen Chow, “Real-Time SOH Estimation via Online Identification of Temperature and SOC Dependent Electric Circuit Model Parameters,” in IECON 2025- 51st Annual Conference of the IEEE Industrial Electronics Society, 2025.(accepted)
  6. Junya Shao, Mo-Yuen Chow, Zhiping Tan and Huiqin Jin, “Solid Electrolyte Interface Growth Fault Modeling for Battery State of Health Simulation,” 2025 IEEE International Conference on Industrial Technology (ICIT), Wuhan, China, 2025, pp. 1-6, doi: 10.1109/ICIT63637.2025.10965289.
  7. Ziqi Wang, Mo-Yuen Chow, Zhiping Tan and Huiqin Jin, “Modelling of the Solid Electrolyte Interface Growth Using Physics-Based Equivalent Circuit Model,” 2025 IEEE International Conference on Industrial Technology (ICIT), Wuhan, China, 2025, pp. 1-6, doi: 10.1109/ICIT63637.2025.10965250.
  8. Hengrui Tian, Aditya Joshi, Mo-Yuen Chow, Jin Zhou and Guanrong Chen, “Microgrid Communication Network Optimization During Disaster Relief: A Connectivity Rank Index Based Approach,” 2025 IEEE International Conference on Industrial Technology (ICIT), Wuhan, China, 2025, pp. 1-6, doi: 10.1109/ICIT63637.2025.10965235.
  1. Aditya Joshi, Skieler Capezza, Ahmad ALhaji, and Mo-Yuen Chow, “Hierarchical distributed gossip consensus based economic dispatch in networked microgrids,” in IECON 2024- 50th Annual Conference of the IEEE Industrial Electronics Society, 2024.
  2. Ahmad ALhaji, Skieler Capezza, and Mo-Yuen Chow, “A Distributed Consensus Approach for Power and Water Co-Generation in Microgrids,” in IECON 2024- 50th Annual Conference of the IEEE Industrial Electronics Society, 2024.
  3. Aditya Joshi and Mo-Yuen Chow, “Hierarchical Distributed Consensus Based Networked Microgrid Energy Management For Disaster Relief,” 2024 IEEE 19th Conference on Industrial Electronics and Applications (ICIEA), Kristiansand, Norway, 2024, pp. 1-6, doi: 10.1109/ICIEA61579.2024.10665212.
  4. Aditya Joshi, Skieler Capezza and Mo-Yuen Chow, “Strategic Leader Selection and Cluster Formation in Hierarchical Networked Microgrids,” 2024 IEEE Power & Energy Society General Meeting (PESGM), Seattle, WA, USA, 2024, pp. 1-5, doi: 10.1109/PESGM51994.2024.10688456.
  5. Hengrui Tian, Ahmad Alhaji, Zhiyu Long and Mo-Yuen Chow, “Microgrids for Post-Disaster Power Restoration Application,” 2024 IEEE 33rd International Symposium on Industrial Electronics (ISIE), Ulsan, Korea, Republic of, 2024, pp. 1-6, doi: 10.1109/ISIE54533.2024.10595777.
  6. Jilun Tian, Jiusi Zhang, Hao Luo, Cong-Sheng Huang, Mo-Yuen Chow and Yuchen Jian, “A Feature Extraction and Analysis Method for Battery Health Monitoring,” 2024 IEEE 33rd International Symposium on Industrial Electronics (ISIE), Ulsan, Korea, Republic of, 2024, pp. 1-6, doi: 10.1109/ISIE54533.2024.10595821.
  7. Solomon N. Adasah, Ziqi Wang, Shaoli Hu, Skieler Capezza, Junya Shao and Mo-Yuen Chow, “Review of Fault Diagnosis based Protection Mechanisms for Battery Energy Storage Systems,” 2024 IEEE 33rd International Symposium on Industrial Electronics (ISIE), Ulsan, Korea, Republic of, 2024, pp. 1-6, doi: 10.1109/ISIE54533.2024.10595828.
  1. Skieler Capezza, Aditya Joshi and Mo-Yuen Chow, “Weighted Hierarchical Consensus based Economic Dispatch Utilizing Cluster Size Estimation for Networked Microgrids,” IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society, Singapore, Singapore, 2023, pp. 01-06, doi: 10.1109/IECON51785.2023.10312209.
  2. S. Capezza, A. Joshi (NCSU) and M. -Y. Chow, “Hierarchical Distributed Consensus Based Economic Dispatch of Distributed Energy Resources (DERs) for Networked Microgrids,” 2023 IEEE 3rd International Conference on Industrial Electronics for Sustainable Energy Systems (IESES), Shanghai, China, 2023, pp. 1-6, doi: 10.1109/IESES53571.2023.10253706.
  3. J. Zhang (HIT), J. Tian, Y. Jiang, H. Luo, C. Huang, M. -Y. Chow and S. Yin , “SAGPCN: Self-Attention Graph Pooling Convolutional Network for Battery State of Health Estimation,” 2023 IEEE 3rd International Conference on Industrial Electronics for Sustainable Energy Systems (IESES), Shanghai, China, 2023, pp. 1-6, doi: 10.1109/IESES53571.2023.10253731.
  4. J. Tian (HIT), J. Zhang, Y. Jiang, H. Luo, C. Huang and M. -Y. Chow, “A Multi-Layer Long Short-Term Memory Neural Network on Battery State-of-Health Estimation with Transfer Learning,” 2023 IEEE 3rd International Conference on Industrial Electronics for Sustainable Energy Systems (IESES), Shanghai, China, 2023, pp. 1-6, doi: 10.1109/IESES53571.2023.10253691.
  1. M. Liu, Z. Cheng, Z. Zhang, M. Sun, R. Deng, P. Cheng, and M. Chow, “A Multi-Agent System Based Hierarchical Control Framework for Microgrids”, in IEEE PES General Meeting, July 25-29 2021, Washington, DC, USA.
  1. Z. Cheng, and M.-Y. Chow, “An Augmented Bayesian Reputation Metric for Trustworthiness Evaluation in Consensus-based Distributed Microgrid Energy Management System with Energy Storage,” in IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES), 2020, Cagliari, IT, accepted.
  2. Y. Feng, Z. Cheng, X. Cao, and M.-Y. Chow, “A Random-weighted Privacy-Preserving Consensus-based Distributed Energy Management Algorithm in Microgrid with Energy Storage Devices,” in IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES), 2020, Cagliari, IT, accepted.
  3. Z. Cheng and M. Chow, “Reputation-based Collaborative Distributed Energy Management System Framework for Cyber-physical Microgrids: Resilience against Profit-driven Attacks,” 2020 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), Washington, DC, USA, 2020, pp. 1-5, doi: 10.1109/ISGT45199.2020.9087737.
  4. C.-S. Huang, Z. Cheng, B. Balagopal, and M.-Y. Chow, “A Novel Most Significant Cell Methodology in a Battery Pack with Serial Cell Connection,” in IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES), 2020, Cagliari, IT, accepted.
  5. X.-Y. Xu, C.-S. Huang, M.-Y. Chow, S. Yin, H. Luo , “Li-ion Battery SOC Estimation with Adaptive Residual Generator,” in 46th Annual Conference of the IEEE Industrial Electronics Society (IECON), 2020, in review.
  1. B. Balagopal, S. Kerrigan, H. Kim, M. Chow, M. Bourham and X. Jiang, “A Smart Sensor Prototype for Vibration Sensing in Nuclear Power Plants,” 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE), Vancouver, BC, Canada, 2019, pp. 1127-1132. doi: 10.1109/ISIE.2019.8781139
  2. C. Huang, L. Cai, B. Balagopal and M. Chow, “Real-time Abnormal Data Filtering Framework for Battery Energy Storage System Real-world Application,” 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE), Vancouver, BC, Canada, 2019, pp. 2452-2457. doi: 10.1109/ISIE.2019.8781150
  3. B. Balagopal, C. S. Huang and M. Chow, “Sensitivity Analysis of Lithium Ion Battery Parameters to Degradation of Anode Lithium Ion Concentration,” IECON 2019 – 45th Annual Conference of the IEEE Industrial Electronics Society, Lisbon, Portugal, 2019, pp. 4543-4548. doi: 10.1109/IECON.2019.8926969
  1. M. Salamati, C.-S. Huang, B. Balagopal, and M.-Y. Chow, “Experimental Battery Monitoring System Design for Electric Vehicle Applications,” in International Conference on Industrial Electronics for Sustainable Energy Systems (IESES), Waikato, NZ, 2018.
  2. B. Balagopal, C. S. Huang and M. Chow, “Effect of calendar ageing on SEI growth and its impact on electrical circuit model parameters in Lithium ion batteries,” 2018 IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES), Hamilton, 2018, pp. 32-37. doi: 10.1109/IESES.2018.8349846
  3. Z. Cheng and M. Chow, “The Development and Application of a DC Microgrid Testbed for Distributed Microgrid Energy Management System,” IECON 2018 – 44th Annual Conference of the IEEE Industrial Electronics Society, Washington, DC, 2018, pp. 300-305. doi: 10.1109/IECON.2018.8591816
  4. C. Huang, B. Balagopal and M. Chow, “Estimating Battery Pack SOC Using A Cell-to-Pack Gain Updating Algorithm,” IECON 2018 – 44th Annual Conference of the IEEE Industrial Electronics Society, Washington, DC, 2018, pp. 1807-1812. doi: 10.1109/IECON.2018.8591594
  5. H. R. Chi, H. Zhu, Y. Liu, F. H. Hung, K. F. Tsang, M. Y. Chow, C. Ma , “Charging Infrastructure Planning for Electric Vehicles in Giant Cities,” IECON 2018 – 44th Annual Conference of the IEEE Industrial Electronics Society, Washington, DC, 2018, pp. 4651-4655. doi: 10.1109/IECON.2018.8591194
  1. J. Duan and M.-Y. Chow, “Data integrity attack on consensus-based load shedding algorithm for power systems,” in IECON 2017 – 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, 2017, pp. 7641-7646.
  2. J. Duan and M.-Y. Chow, “Data integrity attack on consensus-based distributed energy management algorithm,” in 2017 IEEE Power & Energy Society General Meeting, Chicago, IL, USA, 2017.
  3. Z. Cheng, J. Duan, and M.-Y. Chow, “Reliability assessment and comparison between centralized and distributed energy management system in islanding microgrid,” in 2017 North American Power Symposium (NAPS), Morgantown, WV, USA, 2017.
  4. Z. Cheng, M.-Y. Chow, D. Jung, and J. Jeon, “A big data based deep learning approach for vehicle speed prediction,” in 2017 IEEE 26th International Symposium on Industrial Electronics (ISIE), Edinburgh, UK, 2017.
  5. B. Balagopal, C.-S. Huang, and M.-Y. Chow, “Effect of Calendar Aging on Li Ion Battery Degradation and SOH,” in IECON 2017 – 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, 2017.
  6. B. Balagopal and M.-Y. Chow, “Effect of Partial vs Full Cycling on the Thevenin Circuit Model Parameters of Lithium Ion Batteries,” in 2017 IEEE 26th International Symposium on Industrial Electronics (ISIE), Edinburg, UK, 2017.
  7. L.An, J. Duan, Y. Zhang, M.-Y. Chow, and A. Duel-Hallen, “Distributed multi-step power scheduling and cost allocation for cooperative microgrids,” in 2017 IEEE Power & Energy Society General Meeting, Chicago, IL, USA, 2017.
  1. J. Duan, W. Zeng, and M.-Y. Chow, “An Attack-Resilient Distributed DC Optimal Power Flow Algorithm via Neighborhood Monitoring,” in IEEE Power & Energy Society General Meeting, Boston, MA, 2016.
  2. Y. Zhang and M.-Y. Chow, “Microgrid Cooperative Distributed Energy Scheduling (CoDES) Considering Battery Degradation Cost,” in 2016 IEEE International Symposium on Industrial Electronics, Santa Clara Convention Center, Santa Clara, CA, 2016.
  3. N. Rahbari-Asr, Y. Zhang, and M.-Y. Chow, “Cooperative Distributed Energy Scheduling for Storage Devices and Renewables with Resiliency against Intermittencies,” in 2016 IEEE International Symposium on Industrial Electronics, Santa Clara Convention Center, Santa Clara, CA, 2016.
  4. J. Duan, W. Zeng, and M.-Y. Chow, “Attack Detection and Mitigation for Resilient Distributed DC Optimal Power Flow Algorithm in the IoT Environment,” in 2016 IEEE International Symposium on Industrial Electronics, Santa Clara Convention Center, Santa Clara, CA, 2016.
  5. C.-S. Huang and M.-Y. Chow, “Accurate Thevenin’s Circuit-based Battery Model Parameter Identification,” in 2016 IEEE International Symposium on Industrial Electronics, Santa Clara Convention Center, Santa Clara, CA, 2016.
  1. A. C. Becerra, W. Zeng, M.-Y. Chow, and Juan José Rodríguez-Andina, “Green city: A low-cost testbed for distributed control algorithms in Smart Grid,” in IECON 2015 – 41st Annual Conference of the IEEE Industrial Electronics Society, 2015, pp. 001948-001953.
  2. W. Zeng, J. Gibean, and M.-Y. Chow, “Economic Benefits of Plug-in Electric Vehicles using V2G for Grid Performance-based Regulation Service,” in 41st Annual Conference of the IEEE Industrial Electronics Society (IECON15), Yokohama, Japan, 2015, pp. 004322-004327.
  3. W. Zeng, Y. Zhang, and M.-Y. Chow, “A Resilient Distributed Energy Management Algorithm for Economic Dispatch in the Presence of Misbehaving Generation Units,” in 8th International Symposium on Resilient Control Systems, Philadelphia, PA, USA, 2015.
  4. Y. Zhang and M.-Y. Chow, “Distributed Optimal Generation Dispatch Considering Transmission Losses,” in 2015 North American Power Symposium, Charlotte, NC, USA, 2015, pp. 1-6.
  5. J. Duan, W. Zeng, and M.-Y. Chow, “Economic impact of data integrity attacks on distributed DC optimal power flow algorithm,” in North American Power Symposium (NAPS), 2015, pp. 1-7.
  6. Y. Zhang, N. Rahbari-Asr, and M.-Y. Chow, “Online Convergence Factor Tuning for Robust Cooperative Distributed Economic Dispatch,” in 2015 IEEE Power and Energy Society General Meeting, Denver, CO, USA, 2015. (in Best Conference Papers on Grid Operation and Management session)
  7. N. Rahbari-Asr, Y. Zhang, and M.-Y. Chow, “Cooperative Distributed Scheduling for Storage Devices in Microgrids using Dynamic KKT Multipliers and Consensus Networks,” , 2015 IEEE Power and Energy Society General Meeting, July 26-30, 2015, Denver, CO, USA.
  8. Bharat Balagopal, and M.-Y. Chow, “The State of the Art Approaches to Estimate the State of Health (SOH) and State of Function (SOF) of Lithium Ion Batteries”, 13th IEEE Industrial Conference on Industrial Informatics (INDIN), 22-24 July 2015, Cambridge, UK.
  9. H. Rahimi-Eichi, P. B. Jeon, M.-Y. Chow, and T.-J. Yeo, “Incorporating big data analysis in speed profile classification for range estimation,” 13th IEEE Industrial Conference on Industrial Informatics (INDIN), 22-24 July 2015, Cambridge, UK.
  1. Y. Zhang and M.-Y. Chow, “Hybrid Incremental Cost Consensus Algorithm for Smart Grid Distributed Energy Management under Packet Loss Environment,” in IECON 2014 – 40th Annual Conference on IEEE Industrial Electronics Society Dallas, TX, 2014.
  2. N. Rahbari-Asr, Y. Zhang, and M.-Y. Chow, “Stability Analysis for Cooperative Distributed Generation Dispatch in a Cyber-Physical Environment,” in IECON 2014 – 40th Annual Conference on IEEE Industrial Electronics Society Dallas, TX, 2014.
  3. H. Rahimi-Eichi, and M.-Y. Chow, “Big-Data Framework for Electric Vehicle Range Estimation,” in IECON 2014 – 40th Annual Conference on IEEE Industrial Electronics Society Dallas, TX, 2014.
  4. N. Otero, H. Rahimi-Eichi, J. J. Rodriguez-Andina, and M.-Y. Chow, “FPGA Implementation of an Observer for State of Charge Estimation in Lithium-Polymer Batteries,” in International Conference on Mechatronics and Control, Jinzhou, China, 2014.
  1. N. Rahbari-Asr, M.-Y. Chow, Z. Yang, and J. Chen, “Network Cooperative Pricing Control System for Large-Scale Optimal Charging of PHEVs / PEVs,” in IECON 2013 – 39th Annual Conference on IEEE Industrial Electronics Society Vienna, Austria, 2013.
  2. H. Rahimi-Eichi, B. Balagopal, M.-Y. Chow, and T.-J. Yeo, “Sensitivity Analysis of Lithium-Ion Battery Model to Battery Parameters,” Proceedings of the the 39th Annual Conference of the IEEE Industrial Electronics Society (IECON13), Vienna, Austria, 2013.
  3. G. Zhabelova, V. Vyatkin, Z. Zhang, M.-Y. Chow, “Agent-based Distributed Consensus algorithm for Decentralized Economic Dispatch in Smart Grid,” in IEEE IECON 2013, Vienna, Austria, 2013.
  4. Z. Zhang, N. Rahbari-Asr, and M.-Y. Chow, “Asynchronous Distributed Cooperative Energy Management through Gossip-based Incremental Cost Consensus Algorithm,” in Proceedings of North American Power Symposium (NAPS), Manhattan, Kansas, September 22-24, 2013.
  5. Z. Zhang, Y. Zhang, and M-Y. Chow, “Distributed Energy Management under Smart Grid Plug-and-Play operation”, in Proceedings of IEEE Power and Energy Society General Meeting, July 21-25, 2013, Vancouver, British Columbia, Canada
  6. Rahbari-Asr, N., Zhang, Z., Chow, M-Y. , “Consensus-Based Distributed Energy Management with Real-Time Pricing”, in Proceedings of the Power and Energy Society General Meeting, Vancouver, Canada, 2013.
  7. N. Rahbari-Asr and M.-Y. Chow, “Network Distributed Demand Management for Optimal Large-Scale Charging of PHEVs / PEVs “, in Proceedings of the IEEE Power and Energy Society General Meeting, Vancouver, Canada, 2013.
  8. H. Rahimi Eichi and M.-Y. Chow, “Adaptive Online Battery Parameters/SOC/Capacity Co-estimation,” Proceedings of the IEEE Transportation Electrification Conference (ITEC), Metro Detroit, Michigan, USA, June 16-19, 2013.
  9. W. Zeng and M.-Y. Chow, “Convergence and Recovery analysis of the Secure Distributed Control Methodology for D-NCS,” 2013 IEEE International Symposium on Industrial Electronics (ISIE), Taipei, Taiwan, May 28-31, 2013.
  1. H. Rahimi-Eichi and M.-Y. Chow, “Adaptive Parameter Identification and State-of-Charge Estimation of Lithium-Ion Batteries,” Proceedings of 38th Annual Conference of the IEEE Industrial Electronics Society, Montreal, Canada, October 25-28, 2012.
  2. X. Ying and M.-Y. Chow, “Sampling Rate Selection Influences on Incremental Cost Consensus Algorithm in Decentralized Economic Dispatch,” Proceedings of 38th Annual Conference of the IEEE Industrial Electronics Society, Montreal, Canada, October 25-28, 2012.
  3. H. Rahimi-Eichi and M.-Y. Chow, “Auction-Based Energy Management System of a Large-Scale PHEV Municipal Parking Deck,” Proceedings of IEEE Energy Conversion Congress & Exposition, Raleigh, NC, May 28-31, 2012.
  4. H. Rahimi-Eichi and M.-Y. Chow, “Modeling and Analysis of Battery Hysteresis Effects,” Proceedings of IEEE Energy Conversion Congress & Exposition, Raleigh, NC, May 28-31, 2012.
  5. W. Zeng, M.-Y. Chow, and P. Ning, “Secure Distributed Control in Unreliable D-NCS,” Proceedings of 2012 IEEE International Symposium on Industrial Electronics (ISIE), 28-31 May 2012, 2012.
  6. W. Zeng and M.-Y. Chow, “CGA Based Performance-Security Trade-off Optimization in a Networked DC Motor System,” Proceedings of 2012 IEEE International Symposium on Industrial Electronics (ISIE), 28-31 May 2012, 2012.
  7. H. Rahimi-Eichi, F. Baronti, and M.-Y. Chow, “Modeling and Online Parameter Identification of Li-Polymer Battery Cells for SOC estimation,” Proceedings of ISIE 2012- 21th IEEE International Symposium on Industrial Electronics, Hangzhou, Zhejiang, China, May 28-31, 2012, 2012.
  8. U. Ojha, N. R. Asr, and M.-Y. Chow, “Gene Library for Real-time Monitoring of Large Scale Time-Sensitive Systems,” in International Symposium on Industrial Electronics, 2012. Hangzhou, China, 2012.
  9. W. Su, W. Zeng, and M.-Y. Chow, “A Digital Testbed for a PHEV/PEV Enabled Parking Lot in a Smart Grid Environment,” Proceedings of Proceedings of Innovative Smart Grid Technologies (ISGT 2012), Washington, D.C., USA, Jan 17-19, 2012.
  1. Z. Zhang and M.-Y. Chow, “The Leader Election Criterion for Decentralized Economic Dispatch Using Incremental Cost Consensus Algorithm,” Proceedings of IECON 2011 – 37th Annual Conference of the IEEE Industrial Electronics Society, Melbourne, Australia, Nov 7-10, 2011.
  2. U. Ojha and M.-Y. Chow, “Gene Libraries for a Next Generation Warning System in Intelligent Transportation,” Proceedings of IECON 2011 – 37th Annual Conference of the IEEE Industrial Electronics Society, Melbourne, Australia, Nov 7-10, 2011.
  3. W. Su and M.-Y. Chow, “Sensitivity Analysis on Battery Modeling to Large-scale PHEV/PEV Charging Algorithms,” Proceedings of IECON 2011 – 37th Annual Conference of the IEEE Industrial Electronics Society, Melbourne, Australia, Nov 7-10, 2011.
  4. Z. Zhang, X. Ying, and M.-Y. Chow, “Decentralizing the Economic Dispatch Problem using a Two-Level Incremental Cost Consensus Algorithm in a Smart Grid Environment,” Proceedings of 43rd North American Power Symposium, Boston, MA, USA, Aug 4-6, 2011.
  5. W. Su and M.-Y. Chow, “Investigating a Large-scale PHEV/PEV Parking Deck in a Smart Grid Environment,” Proceedings of 43rd North American Power Symposium, Boston, MA, USA, Aug 4-6, 2011.
  6. Z. Zhang and M.-Y. Chow, “Incremental Cost Consensus Algorithm in a Smart Grid Environment,” Proceedings of 2011 Power & Energy Society (PES) General Meeting, Detroit, Michigan, USA, July 24-29, 2011.
  7. W. Su and M.-Y. Chow, “Performance Evaluation of A PHEV Parking Station Using Particle Swarm Optimization,” Proceedings of 2011 Power & Energy Society (PES) General Meeting, Detroit, Michigan, USA, July 24-29, 2011.
  8. W. Su and M.-Y. Chow, “Evaluation on Intelligent Energy Management System for PHEVs Using Monte Carlo Method,” Proceedings of The Fourth Electric Utility Deregulation and Restructuring and Power Technologies Conference, Weihai, Shandong, July 6-9, 2011.
  9. W. Zeng and M.-Y. Chow, “A Trade-off Model for Performance and Security in Secured Networked Control Systems,” Proceedings of IEEE ISIE11, Gdansk, Poland, June 27-30, 2011.
  10. L. Costas, P. Colodron, U. Ojha, J. J. Rodriguez-Andina, J. Farina, and M.-Y. Chow, “Reduction of Loop Delay in UGV Control Systems Through FPGA Implementation” Proceedings of IEEE ISIE11, Gdansk, Poland, June 27-30, 2011.
  11. J. Mitra, N. Cai, M.-Y. Chow, S. Kamalasadan, W. Liu, W. Qiao, S. N. Singh, A. K. Srivastava, S. K. Srivastava, Ganesh K. Venayagamoorthy, and Z. Zhang, “Intelligent Methods for Smart Microgrids,” Proceedings of 2011 Power & Energy Society (PES) General Meeting, Detroit, Michigan, USA, July 24th-29th, 2011.
  12. Y. Cai and M.-Y. Chow, “Similarity measures in small world stratification for distribution fault diagnosis,” Proceedings of IEEE 2011 Power Systems Conference & Exposition (PSCE), Phoenix, AZ, March 20-23, 2011.
  13. Y. Cai and M.-Y. Chow, “Small world stratification for distribution fault diagnosis,” Proceedings of IEEE 2011 Power Systems Conference & Exposition (PSCE), Phoenix, AZ, March 20-23, 2011.
  14. B. McMillin, R. Akella, D. Ditch, G. Heydt, Z. Zhang, and M.-Y. Chow, “Architecture of a Smart Microgrid Distributed Operating System,” Proceedings of IEEE 2011 Power Systems Conference & Exposition (PSCE), Phoenix, AZ, March 20-23, 2011.
  1. H. Zhang and M.-Y. Chow, “On-line PHEV Battery Dynamic Modeling Reflecting the Battery Hysteresis Effect,” Proceedings of 36th Annual Conference of the IEEE Industrial Electronics Society, Glendale, AZ, USA, November 7-10, 2010.
  2. U. Ojha and M.-Y. Chow, “Behavioral Control based Adaptive Bandwidth Allocation in a System of Unmanned Ground Vehicles,” Proceedings of 36th Annual Conference of the IEEE Industrial Electronics Society, Glendale, USA, November 7-10, 2010.
  3. U. Ojha and M.-Y. Chow, “An Analysis of Artificial Immune System and Genetic Algorithm in Urban Path Planning,” Proceedings of 36th Annual Conference of the IEEE Industrial Electronics Society, Glendale, USA, Nov 7-10, 2010.
  4. H. Zhang and M.-Y. Chow, “Comprehensive Dynamic Battery Modeling for PHEV Applications,” in Proceedings of IEEE Power Engineering Society General Meeting, Minneapolis, MN, July 25-29, 2010.
  5. Y. Cai, M.-Y. Chow, W. Lu, and L. Li, “Evaluation of Distribution Fault Diagnosis Algorithms using ROC Curves,” in IEEE Power and Energy Society General Meeting 2010 Minneapolis, MN, 2010.
  6. Y. Cai and M.-Y. Chow, “Cause-Effect Modeling and Simulation of Power Distribution Fault Events,” in IEEE Power and Energy Society General Meeting 2010 Minneapolis, MN, 2010.
  7. W. Su, Z. Yuan, and M.-Y. Chow, “Microgrid Planning and Operation: Solar Energy and Wind Energy,” in Proceedings of IEEE Power Engineering Society General Meeting, Minneapolis, MN, July 25-29, 2010.
  8. U. Ojha and M.-Y. Chow, “Realization and Validation of Delay Tolerant Behavior Control based Adaptive Bandwidth Allocation for Networked Control System,” in International Symposium on Industrial Electronics, 2010. Bari, Italy, 2010.
  9. L. Costas, P. Colodron, J. J. Rodriguez-Andina, J. Farina, and M.-Y. Chow, “Analysis of Two FPGA Design Methodologies Applied to an Image Processing System ” in Proceedings of IEEE International Symposium on Industrial Electronics (ISIE), Bari, Italy, 2010.
  10. T. Bhavsar, T. N. Chang, J. Daniel, and M.-Y. Chow, “Synthesis of Pseudo GPS Coordinates with Real Data Image Capture for Vehicular System,” Proceedings of 2010 American Control Conference Baltimore, Maryland, June 30 – July 2, 2010.
  11. Z. Zhang and M.-Y. Chow, “Consensus Algorithms for Distributed Controlled FREEDM Systems,” Proceedings of 2010 FREEDM Annual Conference, Tallahassee, FL, USA, May 18-19, 2010, pp. 222-225.
  12. H. Zhang and M.-Y. Chow, “On-line Comprehensive PHEV Battery Dynamic Modeling Serving a Municipal Parking Deck Intelligent Energy Management System (iEMS),” Proceedings of 2010 FREEDM Systems Center Annual Conference, Tallahassee, FL, USA, May 18-19, 2010.
  13. X. Ying and M.-Y. Chow, “A Priority-based Distributed Control Algorithm with Discrete Event Simulation for the FREEDM System,” Proceedings of 2010 FREEDM Annual Conference, Tallahassee, FL, USA, May 18-19, 2010, pp. 222-225.
  14. W. Su and M.-Y. Chow, “An Intelligent Energy Management System for PHEVs Considering Demand Response,” Proceedings of 2010 FREEDM Annual Conference, Tallahassee, FL, USA, May 18-19, 2010.
  15. U. Ojha and M.-Y. Chow, “Analysis of Kalman Filter in GPS/INS Integration at Different Noise Levels, Sampling Periods and Curvatures,” Proceedings of 35th Annual Conference on IEEE Industrial Electronics – IECON09, Porto, Portugal, 2009.
  16. B. R. Klingenberg, U. Ojha, and M.-Y. Chow, “Predictive Control of Multiple Robots in a Networked Control System with Adaptive Bandwidth Allocation,” Proceedings of 35th Annual Conference on IEEE Industrial Electronics – IECON09, Porto, Portugal, 2009.
  17. B. R. Klingenberg, O. Unnati, and M.-Y. Chow, “Predictive Constrained Gain Scheduling for UGV Path Tracking in a Networked Control System,” Proceedings of IEEE International Conference on Intelligent Robots and Systems (IROS), St. Louis, MO, 2009.
  18. Y. Cai and M.-Y. Chow, “Exploratory Analysis of Massive Data for Distribution Fault Diagnosis in Smart Grids,” in Proceedings of IEEE Power & Energy Society General Meeting, Calgary, Canada, July 26-30, 2009. (invited)
  19. P. Kulshrestha, L. Wang, M.-Y. Chow, and S. Lukic, “Intelligent Energy Management System Simulator for PHEVs at Municipal Parking Deck in a Smart Grid Environment,” in Proceedings of IEEE Power and Energy Society General Meeting, Calgary, Canada, 2009. (invited)
  20. B. McMillin, M.-Y. Chow, and M. Anderson, “Information and Net-Centric Security in Cyber-Physical Power Systems,” in Proceedings of National Workshop on New Research Directions for Future Cyber-Physical Energy Systems, Baltimore, Maryland, June 3-4, 2009.
  21. P. Kulshrestha, K. Swaminathan, M.-Y. Chow, and S. Lukic, “Evaluation of ZigBee Communication Platform for Controlling the Charging of PHEVs at a Municipal Parking Deck,” in Proceedings of IEEE Vehicle Power and Propulsion Conference, Dearborn, Michigan, U.S.A, Sept 7-11, 2009.
  22. L. Wang, A. Govindaraj, M.-Y. Chow, and S. Lukic, “Intelligent Low Power Precision Battery Management System for Plug-in Hybrid Electric Vehicles,” in Proceedings of IEEE Vehicle Power and Propulsion Conference, Dearborn, Michigan, U.S.A, Sept 7-11, 2009.
  23. H. Li, M.-Y. Chow, and Z. Sun, “Memoryless State Feedback Control for Networked Control Systems: a Cone Complementarity Linearization Approach,” in Proceedings of 47th IEEE Conference on Decision and Control Cancun, Mexico, Dec 9-11, 2008.
  24. T. Chang, M.-Y. Chow, S. Cobb, and J. Daniels, “iSpace Model Reference CPS,” in Proceedings of National Workshop for Research on Transportation Cyber-Physical Systems: Automotive, Aviation, and Rail Washington, DC, November 18-20, 2008.
  25. H. Li, M.-Y. Chow, and Z. Sun, “Speed Control of a Networked DC Motor System with Time Delays and Packet Losses,” Proceedings of IEEE IECON-2008, Orlando, FL, Nov. 10-13, 2008.
  26. R. Gupta and M.-Y. Chow, “Performance Assessment and Compensation for Secure Networked Control Systems,” in Proceedings of IEEE IECON-2008, Orlando, FL, 2008, pp. 2929-2934.
  27. H. Li, Z. Sun, M.-Y. Chow, and B. Chen, “State feedback controller design of networked control systems with time delay and packet dropout,” Proceedings of IFAC WC 2008 (the 17th IFAC World Congress), Seoul, Korea, July 6-11, 2008.
  28. H. Li, Z. Sun, M.-Y. Chow, and B. Chen, “A simple state feedback controller design method of networked control systems with time delay and packet dropout,” Proceedings of IFAC WC 2008 (the 17th IFAC World Congress), Seoul, Korea, July 6-11, 2008.
  29. Y. Cai, M.-Y. Chow, “Overview of Distributed Generation,” IEEE ICIT08, Apr. 21-23, 2008, Chengdu, Sichuan, China.
  30. R. A. Gupta, A. K. Agarwal, M.-Y. Chow, and Wenye Wang, “Information security with real-time operation: performance assessment for next generation wireless distributed networked-control-systems,” Proceedings of IEEE IECON07 Taipei, Taiwan, 2007.
  31. R. Vanijjirattikhan, D. Kaber, M.-Y. Chow, and N. Stoll, “Timed Petri Net Modeling and Simulation of a High-Throughput Biological Screening Process,” Proceedings of CASE07, The 3rd Annual IEEE Conference on Automation Science and Engineering, Scottsdale, Arizona, USA, Sep. 22-25, 2007.
  32. T. Hong and M.-Y. Chow, “Resource Allocation for a Life Science Automation Line: a Petri Nets Approach,” Proceedings of CASE07, The 3rd Annual IEEE Conference on Automation Science and Engineering, Scottsdale, Arizona, USA, Sep. 22-25, 2007.
  33. R. Vanijjirattikhan, D. Kaber, M.-Y. Chow, and N. Stoll, “Timed Petri Net Modeling and Simulation of a High-Throughput Biological Screening Process,” The 3rd annual IEEE Conference on Automation Science and Engineering (IEEE CASE 2007), Scottsdale, Arizona, USA, 2007, Sep. 22-25, 2007.
  34. R. A. Gupta, M.-Y. Chow, A. Agarwal, and W. Wang, “Characterization of data-sensitive wireless distributed networked-control-systems,” Proceedings of IEEE/ASME International conference on Advanced Intelligent Mechatronics ETH Zürich, Switzerland, September 4-7, 2007.
  35. R. Vanijjirattikhan, M. Talukdar, and M.-Y. Chow, “Accumulated effect parameter tuning method for geometrical path tracking of wheeled mobile robots,” the 2007 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, Zürich, Switzerland, September 4-7, 2007.
  36. H. Li, Z. Sun, M.-Y. Chow, H. Liu, and B. Chen, “Stabilization of networked control systems with time delay and packet dropout — Part I,” Proceedings of 2007 IEEE International Conference on Automation and Logistics (ICAL 2007), Jinan, Shandong, China, August 18–21, 2007.
  37. H. Li, Z. Sun, M.-Y. Chow, H. Liu, and B. Chen, “Stabilization of networked control systems with time delay and packet dropout — Part II,” Proceedings of 2007 IEEE International Conference on Automation and Logistics (ICAL 2007), Jinan, Shandong, China, August 18–21, 2007.
  38. X. Z. Gao, S. J. Ovaska, X. Wang, and M.-Y. Chow, “A Hierarchical Optimization Scheme for Negative Selection Algorithm Detectors in Motor Fault Detection,” Proceedings of 2007 IEEE Three-Rivers Workshop on Soft Computing in Industrial Applications (SMCia), Passau, Germany, August 01-03, 2007.
  39. L. Xu, M.-Y. Chow, J. Timmis, “Power Distribution Outage Cause Identification using Fuzzy Artificial Immune Recognition Systems (FAIRS) algorithm”, Proceedings of IEEE PES General Meeting, Tampa, FL, Jun. 2007.
  40. T. Hong, M.-Y. Chow, P. Haaland, D. Wilson, and R. Walker, “Scheduling a Life Science High-Throughput Platform under Starvation Constraints Using Timed Transition Petri Nets and Heuristic Search,” Proceedings of IEEE ISIE07, Vigo, Spain, June 4 – 7, 2007.
  41. Z. Li and M.-Y. Chow, “Sampling Rate Scheduling and Digital Filter Co-design of Networked Supervisory Control System,” Proceedings of IEEE ISIE07, Vigo, Spain, June 4 – 7, 2007.
  42. B. Ayhan, M.-Y. Chow, H. J. Trussell, “A Fuzzy Membership Function Design Methodology Based on Histogram and ROC Curve Analyses for Broken Rotor Bar Detection,”, Proceedings of IEEE International Symposium on Industrial Electronics, ISIE 2007, Vigo, Spain, June 4-7, 2007.
  43. L. Xu, M.-Y. Chow, and L. S. Taylor, “Using the Data Mining Based Fuzzy Classification Algorithm for Power Distribution Fault Cause Identification with Imbalanced Data,” Proceedings of IEEE Power Systems Conference & Exposition (PSCE2006), Atlanta, Georgia, USA October 29 – November 1, 2006.
  44. T. Hong and M.-Y. Chow, “Timed Petri Nets Modeling of High-Throughput Screening Process for Fault Study”, Proceeding of IEEE IECON06, Paris, Nov. 6-10, 2006.
  45. Z. Li, M.-Y. Chow, “Adaptive Multiple Sampling Rate Scheduling of Real-time Networked Supervisory Control System – Part I” Proceeding of IEEE IECON06, Paris, Nov. 6-10, 2006.
  46. Z. Li, M.-Y. Chow, “Adaptive Multiple Sampling Rate Scheduling of Real-time Networked Supervisory Control System – Part II” Proceeding of IEEE IECON06, Paris, Nov. 6-10, 2006.
  47. R. A. Gupta, A. A. Masoud, and M.-Y. Chow, “A Network based, Delay-tolerant, Integrated Navigation System for a differential drive UGV using Harmonic Potential Field,” Proceedings of 45th IEEE Conference on Decision and Control, San Diego, CA, Dec. 13-15, 2006.
  48. R. A. Gupta, A. Masoud and M.-Y. Chow, “A Delay-tolerant, Potential field-based, Network Implementation of an Integrated Navigation System for a differential drive UGV” Proceedings of IEEE/RSJ International conference on Intelligent Robots and Systems, Beijing, China, October 9-15, 2006.
  49. X. Z. Gao, S. J. Ovaska, X. Wang, and M.-Y. Chow, “Clonal Optimization of Negative Selection Algorithm with Applications in Motor Fault Detection,” 2006 IEEE International Conference on Systems, Man, and Cybernetics, Oct. 8 – Oct. 11, 2006, Taipei, Taiwan.
  50. Le Xu, Simon M. Hsiang and Mo-Yuen Chow, “The Development of Fault Diagnosis Methodologies using Hierarchical Clustering and Small World Network Stratification” Proceedings of 2006 IEEE Mountain Workshop on Adaptive and Learning Systems, Logan, U.S.A., 24-26 Jul. 2006.
  51. Le Xu, Mo-Yuen Chow, Jon Timmis, Leroy S. Taylor, Andrew Watkins ,“On the Investigation of Artificial Immune Systems on Imbalanced Data Classification in Power Distribution System Fault Cause Identification” Proceedings of IEEE World Congress on Computational Intelligence, Vancouver, BC, Canada, 16-21 Jul. 2006.
  52. Le Xu, Mo-Yuen Chow, Leroy S. Taylor, “Data Mining Based Fuzzy Classification Algorithm for Imbalanced Data” Proceedings of IEEE World Congress on Computational Intelligence, Vancouver, BC, Canada, 16-21 Jul. 2006.
  1. Le Xu, Mo-Yuen Chow, “Power Distribution Systems Fault Cause Identification Using Logistic Regression and Artificial Network”, 13th Conference on Intelligent Systems Application to Power System, Washington, DC, 6-10 Nov. 2005.
  2. Tyler Richards, Mo-Yuen Chow, “Performance Characterization of IP Network-based Control Methodologies for DC Motor Applications – Part I”, Proceedings of IECON05, The 31st Annual Conference of the IEEE Industrial Electronics Society, Raleigh, NC, Nov. 6-10, 2005, pp. 2405 – 2410.
  3. Tyler Richards, Mo-Yuen Chow, Fen Wu, “Performance Characterization of IP Network-based Control Methodologies for DC Motor Applications – Part II”, Proceedings of IECON05, The 31st Annual Conference of the IEEE Industrial Electronics Society, Raleigh, NC, Nov. 6-10, 2005, pp. 2411 – 2416.
  4. Zheng Li, Mo-Yuen Chow, Yannis Viniotis, “Real-time IP Network Traffic Delay Estimation Model Design and Comparison with DSP Technology,” Proceedings of IECON05, The 31st Annual Conference of the IEEE Industrial Electronics Society, Raleigh, NC, Nov. 6-10, 2005, pp. 2439 – 2444.
  5. B. Ayhan, H. J. Trussell, M.-Y. Chow, M.-H. Song, “Application of Notch Filtering under Low Sampling Rate for Broken Rotor Bar Detection with DTFT and AR based Spectrum Methods,” Proceedings of IECON05, The 31st Annual Conference of the IEEE Industrial Electronics Society, Raleigh, NC, Nov. 6-10, 2005, pp. 2597 – 2602.
  6. Nurcan Tezcan, Wenye Wang, Mo-Yuen Chow, “A Bidirectional Reliable Transport Mechanism for Wireless Sensor Networks,” Oct. 17-20, 2005, Atlantic City, NJ.
  7. Wai-Lun Danny Leung, Rangsarit Vanijjirattikhan, Zheng Li, Le Xu, Tyler Richards, Bulent Ayhan, and Mo-Yuen Chow, “Intelligent Space with time sensitive applications,” 2005 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, Monterey, CA, 24-28 July, 2005.
  8. Puxuan Dong, Griff Bilbro, and Mo-Yuen Chow, “Controlling a Path-tracking Unmanned Ground Vehicle with a Field-Programmable Analog Array,” 2005 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, Monterey, CA, 24-28 July, 2005.
  9. Le Xu, Mo-Yuen Chow, and Xiao-Zhi Gao, “Comparisons of Logistic Regression and Artificial Neural Network on Power Distribution Systems Fault Cause Identification”, Proceedings of 2005 IEEE Mid-Summer Workshop on Soft Computing in Industrial Applications (SMCia/05), Helsinki, Finland, June 28 – 30, 2005.
  10. R. Vanijjirattikhan, M.-Y. Chow, P. Szemes, H. Hashimoto, “Mobile Agent Gain Scheduler Control in Inter-Continental Intelligent Space,” Proceedings of The 2005 IEEE International Conference on Robotics and Automation (ICRA05), April 18-22, 2005, Barcelona, Spain.
  11. R. Vanijjirattikhan, M.-Y. Chow, Y. Tipsuwan, “Feedback Preprocessor for Unmanned Ground Vehicle Network-Based Controller,” Proceedings of the 30th Annual Conference of the IEEE Industrial Electronics Society (IECon’04), Nov. 2-6, 2004, Busan, Korea.
  12. B. Ayhan, M.-Y. Chow, M.-H. Song, “Multiple Signature Based Broken Rotor Bar Detection in Induction Motors,” Proceedings of International Conference on Electrical Machines and Systems 2004 (ICEMS 2004), Nov. 1-3, 2004, Jeju Island, Korea.
  13. L. Xu, B. Ayhan, M.-Y. Chow, “Health Management Systems for Power Engineering Applications,’ Proceedings of International Conference on Electrical Machines and Systems 2004 (ICEMS 2004), Nov. 1-3, 2004, Jeju Island, Korea.
  14. R. Vanijjirattikhan, P. T. Szemes, M.-Y. Chow, H. Hashimoto, “Mobile Agent Gain Scheduler Control in Inter-Continental Intelligent Space,” Proceedings of SICE 2004-43rd Annual Conference of the Society of Instrument and Control Engineers of Japan, Hokkaido, Japan, Aug 4-6, 2004.
  15. Y. Tipsuwan, M.-Y. Chow, “Model Predictive Path Tracking via Middleware for Networked Mobile Robot over IP Network,” Proceedings of American Control Conference 2004 (ACC2004), Jun 30 – Jul 2, 2004, Boston, MA.
  16. Y. Tipsuwan, M.-Y. Chow, “Gain Scheduling Middleware for Networked Mobile Robot Control,” Proceedings of American Control Conference 2004 (ACC2004), Jun 30 – Jul 2, 2004, Boston, MA.
  17. Y. Tipsuwan, M.-Y Chow, “Neural Network Middleware for Model Predictive Path Tracking of Networked Mobile Robot over IP Network,” IEEE IECon’03, Roanoke, VA, Nov 2 – Nov 6, 2003.
  18. Y. Tipsuwan, M.-Y. Chow, “An Implementation of a Networked PI Controller over IP Network,” IEEE IECon’03, Roanoke, VA, Nov 2 – Nov 6, 2003.
  19. B. Ayhan, M.-Y Chow, H.J. Trussell, M.-H Song, “A Case Study on the Comparison of Non-parametric Spectrum Methods for Broken Rotor Bar Fault Detection,” Proceedings IEEE IECon’03, Roanoke, VA, Nov 2 – Nov 6, 2003.
  20. L. Xu, M.-Y. Chow, L. S. Taylor, “Analysis of Tree-Caused Faults in Power Distribution Systems”, Proceedings of the 35th North American Power Symposium, University of Missouri-Rolla in Rolla, Missouri, October 20-21, 2003.
  21. Y. Tipsuwan, M.-Y. Chow, “On the Gain Scheduling for Networked PI Controller Over IP Network,” 2003 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, Port Island, Kobe, Japan, July 20-24, 2003.
  22. B. Ayhan, M.-Y. Chow, H. J. Trussell, M.-H. Song, E.-S. Kang, and H.-J. Woo, “Statistical Analysis on a Case Study of Load Effect on PSD Technique for Induction Motor Broken Rotor Bar Fault Detection,” Proceedings of IEEE SDEMPED ‘03, Atlanta, Georgia, USA, 24-26 August, 2003.
  23. M.-H. Song, E.-S. Kang, C.-H. Jeong, M.-Y. Chow, and B. Ayhan, “Mean Absolute Difference Approach for Induction Motor Broken Rotor Bar Fault Detection,” Proceedings of IEEE SDEMPED ‘03, Atlanta, Georgia, USA, 24-26 August, 2003.
  24. M. A. S. Nainar, D. B. Kaber, and M.-Y. Chow, “The Effects of Gain Adaptation for QoS Deterioration in Internet-based Teleoperation using a Virtual Reality Interface,” Proceedings of 47th Annual Meeting of the Human Factors and Ergonomics Society, Denver, Colorado, October, 2003.
  25. D.B. Kaber, M-Y Chow, Human-robot interaction research and an approach to mobile-telerobot interface design,” Proceedings of the XVth Triennial Congress of the International Ergonomics Association. Seoul, Korea, August 24-29, 2003.
  26. N. B. Almutairi, M.-Y. Chow, “Stabilization of Networked PI Control System Using Fuzzy Logic Modulation,” Proceedings of American Control Conference (ACC), Denver, Colorado, June 4 – 6, 2003.
  27. R. Vanijjirattikhan, B. Ayhan, Y. Tipsuwan, and M.-Y. Chow, “A Web-Based Distributed Dynamics Simulation of a Three-Phase Induction Motor,” Proceedings of NSF Workshop on Teaching of First Courses on Power Electronics and Electric Drives and Advance Course on Power System Applications of Power Electronics, Arizona State University, Tempe, Arizona, January 5-7, 2003.
  28. N. B. Almutairi, M.-Y. Chow, “PI Parameterization Using Adaptive Fuzzy Modulation (AFM) for IP networked PI control systems – Part I: Partial Adaptation,” Proceedings of IECon’02, Sevilla, Spain, November 5 – 8, 2002.
  29. N. B. Almutairi, M.-Y. Chow, “PI Parameterization Using Adaptive Fuzzy Modulation (AFM) for IP networked PI control systems – Part II: Full adaptation,” Proceedings of IECon’02, Sevilla, Spain, November 5 – 8, 2002.
  30. J. Y. Hung, M.-Y. Chow, “Optimal Excitation of a Permanent Magnet Synchronous Motor Having an Open-Circuit,” Proceedings of IECon’02, Sevilla, Spain, November 5 – 8, 2002.
  31. Y. Tipsuwan, M.-Y. Chow, “Gain adaptation of mobile robot for compensating QoS deterioration”, Proceedings of IECon’02, Sevilla, Spain, November 5 – 8, 2002.
  32. C. Trivedi, H. J. Trussell, A. A. Nilsson and M.-Y. Chow, “Implicit Traffic Classification for Service Differentiation,” ITC Workshop, July 24&25, 2002, Wurtzburg, Germany.
  33. Y. Tipsuwan, M.-Y. Chow, “Network-Based Controller Adaptation Based On QoS Negotiation and Deterioration,” IECon01, Denver, CO, Nov.28-Dec.02, 2001.
  34. N. B. Almutairi, M.-Y. Chow, Y. Tipsuwan, “Network-Based Controlled DC motor with Fuzzy Compensation,” IECon01, Denver, CO, Nov.28-Dec.02, 2001.
  35. M.-Y. Chow, Y. Tipsuwan, “Network-based control adaptation for network QoS variation,” MILCOM 2001, October 28-31, 2001, McLean, VA.
  36. N. B. Almutairi, M.-Y. Chow, “A modified PI control action with a robust adaptive fuzzy controller applied to a Dc motor,” IJCNN 01, Washington, DC, July 15-18, 2001.
  37. Y. Tipsuwan, M.-Y. Chow, “Analysis of Training Neural Compensation Model for System Dynamics Modeling,” IJCNN 01, Washington, DC, July 15-18, 2001.
  38. S. Khokhar, A. A. Nilsson and M.-Y. Chow, “Mobile Location Estimation Methods,” GIS 2001 Conference & Exposition, Vancouver, BC, February 19-22, 2001.
  1. M.-Y. Chow, Y. Tipsuwan, “Neural Plug-In Motor Coil Thermal Modeling,” IECon 2000, October 22 – 28, 2000, Nagoya, Japan.
  2. Y. Tipsuwan, M.-Y. Chow, “Fuzzy Logic Microcontroller Implementation for a DC Motor Speed Control“, IECon 99, San Jose, CA, April 1999.
  3. B. Li, G. Goddu, M.-Y. Chow, “A Fuzzy Adaptive Neural Network Motor Fault Diagnosis Algorithm,” International Conference on Neural Networks & Brain, Beijing, China, October 27-30, 1998.
  4. M.-Y. Chow, S. Altug, H. J. Trussell, “Set Theoretic Based Neural-Fuzzy Motor Fault Detector”, Proceedings of IECon ’98, Aachen, Germany, Aug. 31-Sep. 4, 1998. (invited)
  5. G. Goddu, B. Li, M.-Y. Chow, J. C. Hung, “Motor Bearing Fault Diagnosis by a Fundamental Frequency Amplitude Based Fuzzy Decision System,” Proceedings of IECon ’98, Aachen, Germany, Aug. 31-Sep. 4, 1998. (invited)
  6. L. Ramiller, M.-Y. Chow, and R. T. Kueh, “Fuzzy Control of a Temperature in a Semiconductor Processing Furnace,” Proceedings of IECon ’98, Aachen, Germany, Aug. 31-Sep. 4, 1998.
  7. M.-Y. Chow, P. Buda, “Applications of Artificial Intelligence and Computational Intelligence in Power Electronics and Motor Condition Monitoring,” Third International IEEE Workshop on the Future of Electronic Power Processing and Conversion (FEPPCON III), Kruger National Park, South Africa, July 12-14, 1998. (invited)
  8. M.-Y. Chow, S. Altug, and H. J. Trussell, “Extracting Heuristically Acceptable Information from Fuzzy/Neural Architectures via Heuristic Constraint Enforcement, Part I: Foundation,” Proceedings of 1998 IEEE World Congress on Computational Intelligence, Anchorage, AK, 1998.
  9. B. Li, G. Goddu, and M.-Y. Chow, “Enhancement of the Performance of a Neural Network Based Motor Fault Detector Using Graphical Data Analysis Techniques,” Proceedings of 1998 IEEE World Congress on Computational Intelligence, Anchorage, AL, 1998.
  10. A. Menozzi, M.-Y. Chow, and P. C. Cho, “Intelligent Training of a Multi-Resolution Associate Memory Network,” Proceedings of 1998 IEEE World Congress on Computational Intelligence, Anchorage, AL, 1998. (invited)
  11. B. Li, G. Goddu, and M.-Y. Chow, “Detection of Common Motor Bearing Faults Using Frequency-Domain Vibration Signals and a Neural Network Based Approach,” Proceedings of American Control Conference, Philadephia, PA, 1998.
  12. B. Li, G. Goddu, and M.-Y. Chow, “Knowledge Based Technique to Enhance the Performance of Neural Network Based Motor Fault Detection,” Proceedings of IECon’97, New Orleans, LA, 1997. (invited)
  13. A. Menozzi and M.-Y. Chow, “On the Training of a Multi-Resolution CMAC Neural Network,” Proceedings of IECon’97, New Orleans, LA, 1997. (invited)
  14. S. Altug and M.-Y. Chow, “Comparative Analysis of Fuzzy Inference Systems Implemented on Neural Structures,” Proceedings of International Conference on Neural Networks, Houston, TX, 1997.
  15. M.-Y. Chow and J. Teeter, “Reduced-Order Functional Link Neural Network for HVAC Thermal System Identification and Modeling,” Proceedings of 1997 International Conference on Neural Networks, Houston, TX, 1997.
  16. M.-Y. Chow and S. Altug, “Comparative Analysis of Fuzzy Inference Systems Implemented on Neural Structures for Motor Fault Detection,” Proceedings of Naval Symposium on Electric Machine, Newport, RI, 1997.
  17. M.-Y. Chow, S. Altug, and B. Li, “Motor System Time Domain Fast Prototype Software Simulation,” Proceedings of Naval Symposium on Electric Machine, Newport, RI, 1997.
  18. M.-Y. Chow and Y.-S. Lee, “The Development of Machine Fault Detection Using Artificial Neural Network and Fuzzy Logic Technologies,” Proceedings of ASME IMEC&E ’96 Conference, Atlanta, GA, 1996. (invited)
  19. J. Zhu, M.-y. Chow, and F. Zhang, “Phase Balancing using Fuzzy Logic,” IEEE Summer Meeting Student Poster Contest, 1996.
  1. M.-Y. Chow and L. S. Taylor, “Application of Information Technology to Distribution System Operations,” Proceedings of National Science Foundation Electric Power Systems Infrastructure Symposium, Pullman, WA, 1994. (invited)
  2. M.-Y. Chow and A. Menozzi, “Using a Cerebellar Models for FES Control of the Upper Limb,” Proceedings of 16th Annaul International IEEE Engineering in Mdeicine and Bioloby Society Conference, Baltimore, Maryland, 1994.
  3. M.-Y. Chow and P. V. Goode, “Hybrid Fuzzy/Neural System Used to Extract Heuristic Knowledge From a Fault Detection Problem,” Proceedings of IEEE International Conference on Fuzzy Systems, Orlando, FL, 1994.
  4. M.-Y. Chow, P. V. Goode, A. Menozzi, J. Teeter, and J. P. Thrower, “Bernoulli Error Measure Approach to Train Feedforward Artificial Neural Networks for Classification Problems,” Proceedings of IEEE International Conference on Neural Network, Orlando, FL, 1994.
  5. M.-Y. Chow and J. Teeter, “An Analysis of Weight Decay as a Methodology of Reducing Three-Layer Feedforward Artificial Neural Networks for Classification Problems,” Proceedings of IEEE International Conference on Neural Network, Orlando, FL, 1994.
  6. J. Teeter, M.-Y. Chow, and J. J. Brickley, “Use of a Fuzzy Gain Tuner for Improved Control of a DC Motor System with Nonlinearities,” Proceedings of IEEE International Conference on Industrial Technology, Guangzhou, China, 1994.
  7. M.-Y. Chow, “The Advantages of Machine Fault Detection Using Artificial Neural Network and Fuzzy Logic Technologies,” Proceedings of IEEE International Conference on Industrial Technology, Guangzhou, China, 1994.
  8. M.-Y. Chow and A. Menozzi, “A Self-Organized CMAC Controller for Robot Arm Movements,” Proceedings of IEEE International Conference on Industrial Technology, Guangzhou, China, 1994.
  9. M.-Y. Chow and A. Menozzi, “Design Methodology of an Intelligent Controller Using Artificial Neural Networks,” Proceedings of IECON’93, Maui, Hawaii, 1993.
  10. P. V. Goode and M.-Y. Chow, “Neural/Fuzzy Systems for Incipient Fault Detection in Induction Motors,” Proceedings of IECON’93, Maui, Hawaii, 1993.
  11. M.-Y. Chow and P. V. Goode, “Adaptation of a Neural/Fuzzy Fault Detection System,” Proceedings of Conference of Decision and Control 93, San Antonio, TX, 1993.
  12. M.-Y. Chow and P. V. Goode, “The Advantages and Challenges of Machine Fault Detection using Artificial Neural Networks and Fuzzy Logic Technologies,” Proceedings of 36th Midwest Symposium on Circuits and Systems, Detroit, MI, 1993. (invited)
  13. M.-Y. Chow, J. P. Thrower, and L. S. Taylor, “ Neural-Fuzzy System for Distribution Fault Causes Identification,” Proceedings of 2nd International Forum on Applications of Neural Networks to Power Systems, Pacifico Yokohama, Yokohama, Japan, 1993.
  14. R. N. Sharpe, M.-Y. Chow, S. Briggs, F. Holcomb, and L. Windingland, “Optimal Control and Fuzzy Logic Approach for the Design of Artificial Neural Network Configurations,” Proceedings of Artificial Neural Networks in Engineering, St. Louis, Missouri, 1992.
  15. M.-Y. Chow, A. Menozzi, and F. H. Holcomb, “On the Comparison of the Performance of Emerging and Conventional Control Techniques for Dc Motor Speed Control Subject to Load Disturbances,” Proceedings of IECON’92, San Diego, CA, 1992.
  16. M.-Y. Chow, R. N. Sharpe, and J. C. Hung, “Design Consideration for a Motor Fault Detection Artificial Neural Network,” Proceedings of IECON’92, San Diego, CA, 1992.
  17. M.-Y. Chow, A. V. Chew, and S. O. Yee, “Performance of an Fault Detector Artificial Neural Network Using Different Paradigms,” Proceedings of SPIE Applications of Artificial Neural Networks III Conference, Orlando, Florida, 1992. (invited)
  18. E. Purvis and M.-Y. Chow, “Analysis of Direct Load Control Using Multiple Linear Regression Techniques on the North Carolina Electric Membership Corporation Systems,” Proceedings of IASTED Power High Tech, Taiwan, 1991.
  19. M.-Y. Chow, G. Bilbro, and S. O. Yee, “Application of Learning Theory to a Single Phase Induction Motor Incipient Fault Detection Artificial Neural Network,” Proceedings of First International Forum on Applications of Neural Networks to Power Systems, Seattle, WA, 1991.
  20. M.-Y. Chow and S. O. Yee, “Robustness Test of an Incipient Fault Detector Artificial Neural Network,” Proceedings of IJCNN-91-Seattle, Seattle, Washington, 1991.
  21. M.-Y. Chow and S. O. Yee, “An Adaptive Backpropagation Through Time Training Algorithm for a Neural Controller,” Proceedings of 1991 IEEE International Symposium on Intelligent Control, Arlington, VA, 1991.
  22. M.-Y. Chow and S. O. Yee, “Real Time Application of Artificial Neural Networks for Incipient Fault Detection of Induction Machines,” Proceedings of The Third International Conference of Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, Charleston, South Carolina, 1990.
  23. M.-Y. Chow, “Artificial Neural Network Methodology in Real-Time Incipient Fault Detection of Rotating Machines,” Proceedings of National Science Foundation Workshop on Artificial Neural Network Methodology in Power Systems Engineering, Clemson University, Clemson, S.C., 1990. (invited)
  24. M.-Y. Chow and R. J. Thomas, “Neural Network Synchronous Machine Modeling,” Proceedings of 1989 International Symposium on Circuits and Systems, Portland, Oregon, 1989.
  25. M.-Y. Chow and R. J. Thomas, “Incipient Fault Detection in DC Machines Using a Neural Network,” Proceedings of 22th Annual ASILOMAR Conference on Signals, Systems and Computers, Pacific Grove, CA, 1988. (invited)
  26. M.-Y. Chow and R. J. Thomas, “Detection of Damper Winding Currents and the Damping Coefficient of a Synchronous Machine Using a Predictor Corrector Estimator,” Proceedings of 1988 IEEE International Symposium on Circuits and Systems, Espoo, Finland, 1988. (invited)
  27. M.-Y. Chow and R. J. Thomas, “Detection of a Variable Reluctance Machine’s Rotor Position Using a Predictor Corrector Estimator,” Proceedings of IEEE Southeastcon ’88, Knoxville, TN, 1988.
  28. M.-Y. Chow and R. J. Thomas, “Nonlinear Estimation of a Stochastic System,” Proceedings of Conference of Information Sciences and Systems, Johns Hopkins University, 1987.
  29. M.-Y. Chow and R. J. Thomas, “Nonlinear Observation of a Deterministic Systems,” Proceedings of North American Power Symposium, Ithaca, NY, 1986.
  30. M.-Y. Chow and R. J. Thomas, “An Application of Extended Kalman Filtering to a Variable Reluctance Motor,” Proceedings of IASTED Control Symposium, Los Angeles, CA, 1986.

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Riset pola reels mahjong wins 3 terbaru membaca momen kemenangan lebih akurat

pola perubahan reel mahjong ways yang sering jadi pertanda kombinasi kemenangan

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simbol wild kembar sering muncul saat pola spiral di mahjong ways 2

rahasia pola bermain di mahjong ways yang bikin wild ganda

momentum tak terduga bawa kemenangan spektakuler setelah gabungkan pola unik mahjong ways 3

perputaran spin beri kemenangan maksimal di mahjong ways 3

pola kombinasi langka mahjong ways langsung bawa cuan besar

pola spiral mahjong ways mendadak panen kemenangan

zona emas mahjong ways bikin pemain selalu menang dan balik modal cepat

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jalur cepat mendapat simbol wild di mahjong ways 2

cerita menegangkan dari seorang pemula yangmencoba mahjong ways 2

cara memancing kombinasi kemenangan tinggi dari perubahan ritme spin mahjong

bermain tanpa emosi dan fokus pada pola ternyata jadi kunci keberhasilan di mahjong ways

main mahjong ways 2 di hari rabu malam pola kombinasi besar

eksperimen pola 30x spin manual di mahjong ways 2

kenali jam aktif reels mahjong ways 2 saat simbol scatter muncul

bukti pola naik turun bet di mahjong ways bisa cepat muncul scatter

cara mengatur pola bermain mahjong ways 2 agar dapat wild merah

teknik menjeda permainan saat pola mahjong ways 2 mulai menurun

rahasia pola acak mahjong ways punya struktur tertentu

strategi terbaru mahjong ways 2 ditemukan lewat kombinasi pola

perubahan pola mahjong ways terlihat lebih drastis

pendekatan ritmis mahjong ways 2 diterapkan seoarng pemain introvert

mengapa pemain profesional menyusun jurnal harian pola spin mahjong ways

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bagaimana fase spin mahjong ways 2 bisa dikelompokkan dalam kategori stabil

jam tengah malam sebagai waktu emas oleh pengamat pola mahjong ways 2

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eksperimen pola main mahjong ways berdasarkan rtp siang dan malam

kisah nyata pemain mahjong yang menemukan pola efektif

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ritme permainan mahjong ways 2 bisa dipecahkan jika memahami pola

menghadapi perubahan irama spin di mahjong ways 2

mengapa banyak pemain menganalisis pola spin mahjong ways

tips mengatur tempo bermain mahjong ways 2 berdasarkan frekuensi simbol wild

waktu tertentu sering dikaitkan dengan kombinasi pola mahjong ways 2

simpan catatan rtp harian sebelum main mahjong wins 3

pola lama aktif lagi di jam tengah malam mahjong ways 3

pola tersembunyi mahjong ways setelah 27 kali spin

pola unik di mahjong ways bukan sekadar hoki

pakai scatter mahjong ways dan auto balik modal saat anak tidur siang

pola ini di mahjong ways terbukti tekan loss rate sampai 70 persen

melawan deadspin gunakan metode hitungan 18 detik di mahjong wins 3

mahjong ways mendadak rilis pola random baru

mahjong wins 3 tiba tiba naikin rtp setelah fase tertentu

fakta di balik pola scatter beruntun mahjong ways 2

transformasi rtp mahjong ways 2 saat masuk fase midnight run

ritme volatilitas di mahjong ways agar tidak terjebak dalam fase kekalahan

sebuah kajian menarik mengenai hubungan pola gerak reels mahjong ways

peluang jackpot besar di mode tersembunyi mahjong ways 3

rahasia pola spin acak mahjong ways 2 tiba tiba mengarah ke jackpot

mengungkap cara kerja pola rtp mempengaruhi hasil maxwin mahjong ways 2

menemukan pola kemenangan mahjong ways 2 setelah mencatat perubahan rtp setiap hari

menghadapi fase dead spin panjang di mahjong ways 2 versi terbaru

mahjong ways memberikan kemenangan beruntun dengan update algoritma pgsoft

memilih jam sepi lebih menguntungkan saat bermain mahjong ways dibanding jam ramai

waktu terlarang menjadi gerbang emas saat rtp mahjong ways melesat

ritme rtp mahjong ways 2 yang tidak lagi acak

transformasi pola main mahjong ways menjadi irama mekanis yang membentuk keberuntungan

pola mahjong ways tiba di titik balik membuat ritme permainan terasa ajaib

mahjong ways 2 yang berubah menjadi ritual rahasia pemain

perjalanan arus rtp mahjong ways 2 menjadi lintasan cepat penuh peluang

frekuesi spin yang tak lagi netral saat rtp melonjak dan pola visual mahjong ways 2

dibalik pola acak mahjong ways ada lintasan rahasia

detik detik menuju ledakan rtp mahjong ways terbentuk dari serpihan pola

cara baca arah rtp mahjong ways ditengah kabut algoritma

tanda tanda awal perubahan algoritma putaran mahjong ways

teknik membangun konsistensi bermain mahjong ways dengan analisis dan pola spin

spin menguntungkan dan spin tidak stabil di mahjong ways 2

strategi menyusun pola bermain mahjong ways berdasarkan pergerakan reel

kisah pemain mahjong ways yang berhasil keluar dari fase rugi

mengapa pemahaman tentang fase dingin dan fase hangat di mahjong wins 3 penting

kapan waktu terbaik untuk melakukan penyesuaian taruhan di mahjong ways

keputusan logis saat bermain mahjong ways dan cara mengendalikannya

alur berpikir seorang pemain profesional mahjong ways dalam menerjemahkan pola

cara efektif mengelola modal dan menyesuaikan frekuensi spin mahjong ways

rahasia pemain profesional mahjong ways 3 dalam menaklukkan ronde ronde sulit

panduan lengkap menang konsisten di mahjong wins 3 dengan menggunakan pola

pola main mahjong ways 2 yang efektif digunakan oleh komunitas pemain berpengalaman

misteri di balik populernya mahjong wins 3 di kalangan anak muda

mahjong ways dipilih sebagai permainan favorit yang mampu memberikan sensasi tantangan

mengungkap strategi jitu di mahjong ways 2 bikin pemain terus kembali

dampak positif bermain mahjong ways dalam melatih kesabaran

mahjong ways 2 sebagai representasi permainan modern yang sarat nuansa budaya

carabermain mahjong ways 3 dengan pendekatan analitis dan fokus

alasan mahjong ways 2 sukses menjadi pilihan utama pecinta game berbasis simbol

penyebaran kilatan gate of olympus

grid engine starlight princess

kemunculan simbol rare lucky neko

pengujian slow motion wild bandito

audit algoritmik sweet bonanza

perubahan irama putaran lucky neko

aktivitas wild bandito

mode permainan sweet bonanza

identifikasi simbol musiman mahjong ways

grafik pergerakan wild bounty

lonjakan kombinasi mahjong wins

sinyal aktivasi bonus starlight princess

riset cepat mengindikasikan pergeseran pola awal di lucky neko dalam rentang 20 menit

aktivitas bonus menguat pada sweet bonanza ketika stabilitas pengganda mulai terbentuk

korelasi durasi wild bandito

arah momentum mahjong ways 2

menyusun ritme mahjong wins

info akurat gate of olympus

rekap investigatif scatter mahjong ways

pola adaptif starlight princess

uji coba wild bandito

observasi instan sweet bonanza

scatter lucky neko

transisi pola mahjong ways

rasio kombinasi mahjong wins

respons starlight princess

respons starlight princess

fluktuasi stabilitas wild bounty

visual data dinamis mahjong ways 2

intensitas sistem mahjong wins

rantai kombinasi mahjong ways

struktur pola baru mahjong ways 2

aktivasi simbol mahjong wins

intensitas kilatan gate of olympus

statistik sesi pendek mahjong ways 2

intensitas petir gate of olympus

frekuensi scatter lucky neko

evaluasi pola kombinasi mahjong wins

variasi grid animation starlight princess

laporan momentum wild bounty

ritme scatter mahjong ways

pola downtrend varians mahjong ways 2

pengamatan statistik mengungkap konsistensi kombinasi awal di mahjong wins

intensitas petir gate of olympus

simbol premium starlight princess

dinamika grid lucky neko

adaptasi pola sweet bonanza

prediksi harian wild bandito

simbol premium mahjong ways

keselarasan mekanis gate of olympus

grid dan momentum starlight princess

pendekatan pola sweet bonanza

catatan evaluatif wild bounty

transformasi pola mahjong ways 2

representasi data gate of olympus

laju interaksi simbol lucky neko

respons operasional wild bandito

pergeseran varians mahjong ways 2

observasi teknis mahjong wins

manage varians wild bounty

pola menang mahjong ways

simbol bernilai tinggi mahjong wins

varians jangka pendek mahjong ways 2

analisis mekanis gate of olympus

grafik interaktif wild bounty

arah pola mahjong ways 2

stabilitas kombinasi mahjong wins

strategi mendalam gate of olympus

evolusi pola starlight princess

perubahan volatilitas lucky neko

frekuensi scatter sweet bonanza

sinkronisasi wild bandito

sistem putaran mahjong ways

akurasi spin dan strategi jitu

dinamika putaran mahjong ways 2

koordinasi sistem pada mahjong wins

struktur pola mahjong ways

respons reel gate of olympus

pola segar starlight princess

pola respon di gate of olympus

momentum scatter sweet bonanza

stabilitas putaran mahjong ways

pahami dinamika varians lucky neko

penyesuaian pola starlight princess

harmoni putaran lucky neko

aktivasi bonus sweet bonanza

penyelarasan pola wild bandito

perubahan progresif varians wild bounty

menunjukkan mahjong ways

pengelolaan varians mahjong wins

pencatatan sistematis wild bandito

mengindikasikan lucky neko

indikasi pemicu bonus gate of olympus

metode operasional mahjong ways

cara praktis mengaktifkan sekaligus untuk membuat urutan

optimalisasi susunan kotak mahjong ways 2 meningkat

tips mengenali peningkatan ikon sweet bonanza 1000

panduan mengatur zona putaran dinamis di mahjong

strategi penyesuaian saat siklus variasi mahjong pragmatic

pergerakan ekstra starlight princess diproyeksikan mencapai puncaknya

kekuatan kilatan gate of olympus bertambah signifikan

metode penginisiasian bersama mahjong wins demi formasi

penataan mahjong ways 2 mengarah ke pembentukan

pola penyebar wild bounty meningkat pesat saat

indikator ekstra menguat di starlight princess setelah

aktivitas kilatan merah bertambah dinamis di gate

dorongan momentum baru muncul saat mahjong wins

pengaruh variasi warna ikon terhadap pemahaman cepat

struktur prediksi rahasia mahjong ways yang menampilkan

trik mahjong ways 3 membantu anak muda

keputusan cepat satu klik mengubah malam tenang

sinyal tersembunyi awal mahjong ways terlihat lebih

fenomena kilatan berganda gate of olympus hadir

tren wild bounty teridentifikasi mengalami peningkatan pola

perubahan lembut mahjong pragmatic mengarahkan pemain ke

rtp di mahjong wins 2 mengungkap lapisan

trik mengelola modal kecil dengan fokus agar

metode mengamati perubahan halus yang jadi awal

strategi sederhana untuk memanfaatkan momen tenang yang

cara praktis mengaktifkan fitur sekaligus demi menciptakan

optimalisasi susunan kotak mahjong ways 2 yang

tips mengenali peningkatan ikon sweet bonanza 1000

panduan mengatur zona putaran dinamis di mahjong

strategi penyesuaian saat siklus variasi mahjong pragmatic

pergerakan ekstra starlight princess diproyeksikan mencapai puncaknya

kekuatan kilatan gate of olympus bertambah signifikan

metode penginisiasian bersama mahjong wins demi formasi

penataan mahjong ways 2 mengarah ke pembentukan

pola penyebar wild bounty meningkat pesat saat

sweet bonanza terpantau memasuki fase pola tinggi

sweet bonanza menampilkan pola ledakan berulang pasca

variasi gulungan wild bandito terungkap dalam pengujian

alur kilatan gate of olympus kembali muncul

taktik mahjong ways 3 menggerakkan generasi muda

trik mahjong ways 3 membantu anak muda

keputusan cepat satu klik mengubah malam tenang

sinyal tersembunyi awal mahjong ways terlihat lebih

fenomena kilatan berganda gate of olympus hadir

tren wild bounty teridentifikasi mengalami peningkatan pola

indikator ekstra menguat di starlight princess setelah

aktivitas kilatan merah bertambah dinamis di gate

dorongan momentum baru muncul saat mahjong wins

pengaruh variasi warna ikon terhadap pemahaman cepat

struktur prediksi rahasia mahjong ways yang menampilkan

peningkatan dinamika saat pergantian tema visual memengaruhi

mekanisme pencegahan pengelompokan ikon mahjong ways yang

putaran dinamis di mahjong wins 2 yang

mahjong ways 2 mengajak pemain menjelajahi jalur

perubahan lembut mahjong pragmatic mengarahkan pemain ke

rtp di mahjong wins 2 mengungkap lapisan

trik mengelola modal kecil dengan fokus agar

metode mengamatiperubahan halus yang jadi awal

strategi sederhana untuk memanfaatkan momen tenang yang

cara praktis mengaktifkan fitur bersamaan demi urutan

optimalisasi susunan kotak mahjong ways 2 yang

tips mengenali peningkatan ikon sweet bonanza 1000

panduan mengatur zona putaran dinamis di mahjong

strategi penyesuaian saat siklus variasi mahjong pragmatic

pergerakan ekstra starlight princess diprediksi capai puncak

kekuatan kilatan gate of olympus bertambah signifikan

metode penginisiasian sekaligus mahjong wins untuk formasi

penataan mahjong ways 2 menuju pembentukan desain

pola penyebar wild bounty naik pesat saat

sweet bonanza terpantau masuk fase pola tinggi

sweet bonanza menampilkan pola ledakan berulang setelah

variasi gulungan wild bandito terungkap pada pengujian

alur kilatan gate of olympus muncul kembali

taktik mahjong ways 3 menggerakkan generasi muda

trik mahjong ways 3 bantu anak muda

cara praktis mengamati lonjakan penyebar sweet bonanza

optimalisasi penataan kotak mahjong ways 2 yang

tips mengidentifikasi gelombang ikon sweet bonanza 1000

panduan menangani daerah rotasi variatif di mahjong

terungkap rahasia formasi adaptif starlight princess pasca

pergerakan tambahan starlight princess diproyeksikan capai klimaks

kekuatan kilatan gate of olympus bertambah pesat

evolusi formasi starlight princess terpantau setelah pembaruan

metode melacak frekuensi penyebar sweet bonanza yang

pola penyebar wild bounty melambung tinggi saat

sweet bonanza terpantau memasuki tahap pola dinamis

sweet bonanza menampilkan ledakan formasi berulang pasca

variasi gulungan wild bandito terbuka saat uji

alur kilatan gate of olympus kembali hadir

hasil riset pelacakan langsung tunjukkan perubahan irama

tips mahjong ways 3 dorong anak muda

keputusan cepat satu sentuhan ubah malam tenang

sinyal tersembunyi awal mahjong ways tampak lebih

fenomena kilatan ganda gate of olympus timbul

tren wild bounty terpantau alami peningkatan formasi

laporan harian dorongan tunjukkan arah formasi positif

aktivitas kilatan merah bertambah giat di gate

gelombang dorongan baru muncul saat mahjong wins

dampak perbedaan nuansa ikon pada pemahaman kilat

kerangka ramalan rahasia mahjong ways yang tampilkan

peningkatan ketidakpastian saat ganti motif tampilan pengaruhi

sistem pencegah pengumpulan ikon mahjong ways yang

riset melintasi sesi temukan hubungan lama bermain

pengaturan ketidakpastian di wild bounty jadi elemen

perubahan animasi kotak di starlight princess pengaruhi

mesin kotak starlight princess hasilkan dorongan naik

penyebar lucky neko raih tingkat pengaktifan puncak

metode mengawasi penyesuaian lembut yang jadi permulaan

strategi simpel maksimalkan saat diam yang kerap

ketidaksesuaian tampilan di starlight princess diketahui usai

sebaran kilatan di gate of olympus tampak

percepatan dorongan baru terbongkar saat mahjong wins

ritme rotasi yang berganti di mahjong ways

naiknya penyebar tak antisipasi di mahjong ways

sweet bonanza terpantau masuk tahap pola dinamis

sinyal tersembunyi intensitas kilatan gate of olympus

hasil riset evolusi pola starlight princess pasca

panduan lacak scatter wild bounty melonjak saat

taktik masuk hyper pola sweet bonanza lewat

riset ledakan berulang sweet bonanza pasca pembaruan

cara memahami frekuensi scatter sweet bonanza naik

performa penataan grid mahjong ways 2 meningkat

pelajari cara kenali surge simbol sweet bonanza

tren formasi adaptif starlight princess terbentuk pasca

manuver bonus starlight princess proyeksi klimaks sore

penyebaran kilatan gate of olympus menuju fokus

akselerasi dorongan baru terbongkar mahjong wins fase

irama rotasi berubah mahjong ways 2 tandai

lonjakan penyebar tak terduga mahjong ways picu

sweet bonanza masuk mode pola dinamis analisis

mesin kotak starlight princess hasilkan lonjakan dorongan

penyebar lucky neko capai puncak aktivasi dalam

trik mengawasi penyesuaian halus permulaan penyebar hitam

strategi sederhana maksimalkan momen diam pemain mahjong

ketidaksesuaian visual starlight princess ditemukan pasca perbaikan

peningkatan dinamika ganti motif tampilan pengaruhi sikap

sistem pencegah pengumpul ikon mahjong ways jaga

riset lintas sesi temukan koneksi durasi bermain

pengelolaan ketidakpastian wild bounty elemen kunci stabilitas

perbedaan animasi kotak starlight princess pengaruhi persepsi

laporan dorongan harian tunjukkan arah formasi positif

aktivitas kilatan merah bertambah dinamis gate of

gelombang momentum baru mahjong wins masuk tahap

dampak variasi nuansa ikon pemahaman cepat pemain

kerangka ramalan rahasia mahjong ways tampilkan respons

tips mahjong ways 3 dorong generasi muda

keputusan instan satu sentuhan ubah malam sunyi

sinyal awal mahjong ways lebih mantap dari

fenomena kilatan ganda gate of olympus timbul

tren wild bounty alami peningkatan formasi inovatif

sweet bonanza memasuki tahap pola dinamis lewat

sweet bonanza tampilkan ledakan formasi berulang setelah

variasi gulungan wild bandito terungkap dalam pengujian

alur kilatan gate of olympus muncul kembali

hasil riset pelacakan langsung perlihatkan irama penyebar

pergerakan ekstra starlight princess diproyeksikan mencapai puncak

kekuatan kilatan gate of olympus bertambah kuat

evolusi formasi starlight princess terpantau pasca pembaruan

metode mengamati frekuensi penyebar sweet bonanza naik

pola penyebar wild bounty melonjak saat perpindahan

cara praktis melacak lonjakan penyebar sweet bonanza

optimalisasi susunan kotak mahjong ways 2 naik

tips mengidentifikasi gelombang simbol sweet bonanza 1000

panduan mengelola daerah putaran variatif mahjong ways

terungkap formasi fleksibel starlight princess terbentuk pasca

insight dan strategi bertemu saat mahjong ways 2 memperlihatkan pola liar terkendali

petunjuk teknis membantu pemain menghindari kesalahan saat mahjong wins 2 berbelok

clue pola membuka cara pandang baru terhadap mahjong pg soft

teknik penyesuaian halus yang sering digunakan saat mahjong ways 1 berubah ritme

insight praktis membantu menentukan arah saat mahjong pragmatic sulit diprediksi

panduan berbasis pola untuk menghadapi situasi tidak stabil di mahjong ways

strategi tidak populer yang justru relevan saat mahjong wins 3 masuk fase ini

pendekatan editorial mengurai mengapa game olympus bisa tiba tiba menguntungkan

strategi ini terlihat sepele tapi sering menyelamatkan pemain di sweet bonanza 1000

petunjuk ini tidak menjamin menang tapi membantu menghindari kesalahan besar

ada perubahan kecil yang diam diam mengubah cara sesi pendek dibaca pemain mahjong ways 2

kenapa periode singkat justru mulai memberi dampak besar pada arah bermain mahjong wins

perubahan bertahap yang sering diabaikan ternyata menggeser persepsi momentum game mahjong

respons pola menang tidak lagi seragam dan mahjong wins menunjukkan perbedaannya

setelah sesi berkepanjangan arah putaran berubah dan mahjong ways 2 masuk fase baru

tips menunggu momen tepat saat scatter lucky neko mulai terbangun bertahap

strategi menyesuaikan gaya bermain mahjong wins berdasarkan perbedaan waktu main

cara mengelola persepsi momentum di starlight princess agar tidak salah ambil risiko

pendekatancerdas membaca kombinasi mahjong ways ketika pola mulai terarah

tips menilai perpanjangan alur pola scatter hitam mahjong untuk menentukan lanjut atau berhenti

perubahan pola jangka pendek mulai terbaca ketika pembacaan harian difokuskan pada mahjong ways 2

lonjakan scatter dalam rentang terbatas mengarah pada akselerasi momentum yang tidak biasanya terlihat di mahjong wins

respons kombinasi bergerak tidak seragam saat intensitas putaran dinaikkan bertahap dalam pola mahjong ways

korelasi antara durasi bermain dan frekuensi wild mulai terlihat dalam pola mahjong wins

tren kenaikan pola mulai terbaca dari uji sesi singkat yang dilakukan pada wild bounty

fluktuasi harian teridentifikasi melalui pembacaan teknis terhadap mahjong ways 2 terbaru

akselerasi scatter terindikasi saat interval pendek membentuk momentum pada mahjong wins 3

perubahan spektrum temporal teridentifikasi melalui pembacaan harian mahjong ways 2 terbaru mandiri

distribusi simbolik menguat sepanjang jendela waktu singkat gate of olympus terpantau konsisten

aktivasi bonus awal tercatat selama rentang pendek sweet bonanza 1000 stabil adaptif

pendekatan bernada teknis untuk menangkap rebound line mahjong ways 1 dalam mode liar

insight eksekusi membaca junction spin mahjong pg soft ketika irama game berbelok

taktik adaptasi mengikuti split frame game mahjong pg saat scatter mulai aktif

teknik mengatur response pocket mahjong ways 2 saat pola tidak konsisten

insight menemukan sequence redirect mahjong pragmatic pada putaran yang terfragmentasi

petunjuk pola yang jarang dibahas ternyata sering muncul di mahjong wins 3

strategi tenang yang justru efektif ketika ritme mahjong pg soft tidak bersahabat

indikasi halus ini sering menjadi awal scatter di mahjong ways 1

panduan sederhana yang membantu pemain bertahan saat mahjong wins 2 sulit diprediksi

strategi adaptif ini relevan ketika pola lama tidak lagi bisa diandalkan

percepatan scatter dalam interval singkat memberi sinyal perubahan momentum mahjong wins

sesi pendek mahjong ways 2 mulai memperlihatkan karakter baru jika dicermati dari pola harian

frekuensi scatter mahjong ways cenderung naik menjelang formasi kombinasi bernilai tinggi

respons pola menang mahjong wins berbeda signifikan antar segmentasi waktu bermain

arus pola mahjong wins 3 mengalami ekspansi durasi di atas rata rata mingguan

strategi bertahan saat mahjong ways 2 masuk fase penyesuaian setelah putaran panjang

cara mengenali awal gelombang menang di mahjong hitam tanpa menunggu terlambat

pendekatan membaca rotasi gate of olympus untuk menghindari putaran boros

tips mengurangi tekanan putaran agar pola menang mahjong ways lebih terjaga

cara membaca transisi antar tahap bermain mahjong wins sebelum pola bergeser

banyak pemain menyesal karena mengabaikan momen ini di mahjong ways 2

keputusan kecil ini sering jadi penentu antara puas atau kecewa di mahjong wins

ada alasan kenapa pemain berpengalaman lebih tenang saat mahjong ways terasa sepi

game starlight princess sering menguji kesabaran pemain tepat sebelum hal tak terduga terjadi

tidak sedikit pemain kehilangan arah karena salah menafsir tanda di mahjong wins

kemenangan awal di mahjong wins justru sering menjadi awal kesalahan berikutnya

banyak pemain baru permainan mahjong wins kehilangan kendali karena terlalu mengandalkan perasaan

perubahan pola jangka pendek mulai terlihat dalam pembacaan harian pada mahjong ways 2

lonjakan scatter dalam rentang terbatas mengindikasikan akselerasi momentum di mahjong wins

respons kombinasi bergerak berbeda saat intensitas putaran dinaikkan bertahap pada mahjong ways

strategi menghindari kesalahan umum saat mahjong ways 2 terlihat terlalu tenang

cara menentukan kapan harus berhenti bermain di mahjong wins agar tidak kehilangan hasil

tips membaca sinyal palsu yang sering mengecoh pemain di mahjong ways

pendekatan bermain tanpa ekspektasi berlebih yang justru efektif di gate of olympus

strategi mengelola emosi saat starlight princess memberi kemenangan kecil beruntun

cara mengatur intensitas putaran saat kombinasi mahjong ways mulai bereaksi berbeda

pendekatan aman memanfaatkan aktivasi bonus dini di game mahjong 2

strategi mengantisipasi arah pola starlight princess saat reel mulai bergerak tidak sinkron

tips menyesuaikan ritme bermain mahjong wins 2 ketika pola mulai melunak

cara menentukan lama bermain ideal agar permainan mahong pg lebih sering memberi respons

kepadatan elemen meningkat bertahap menjelang formasi tinggi starlight princess terobservasi akurat periodik

sinkronisasi wild spesifik memicu gelombang menang mahjong wins terjaga sepanjang pengujian internal

fluktuasi ritme mikro terdeteksi lewat observasi lapisan berulang mahjong ways 2 kontemporer

intensifikasi visual petir mengemuka selaras dinamika putaran mahjong wins terkini progresif

konfigurasi pengganda stabil mengarahkan alur kombinasi sweet bonanza 1000 konsisten proyektif terukur

variabel animasi grid menciptakan persepsi momentum starlight princess selama evaluasi tertutup independen

frekuensi scatter meningkat seiring siklus sinkron terjadi mahjong wins 3 berkala kuantitatif asimetris

pembacaan harian menunjukkan karakter putaran mahjong ways 2 tidak lagi bergerak dengan pola lama

dalam waktu terbatas aktivitas scatter pada mahjong wins mulai mendorong arah permainan berbeda

saat intensitas putaran naik bertahap susunan kombinasi mahjong ways menunjukkan respons baru

manajemen varians mahjong wins menjadi penentu stabilitas pola jangka menengah

reduksi tekanan putaran berkorelasi dengan kontrol pola menang mahjong ways 2

transisi antar sesi pendek menjadi titik kritis pergeseran pola mahjong wins

strategi membaca perubahan ritme awal di mahjong ways 2 agar tidak salah masuk putaran

tips menyikapi lonjakan scatter cepat di mahjong wins sebelum momentum berbalik

strategi membaca stabilitas pengganda sweet bonanza untuk menentukan waktu bertahan

tips mengenali kemunculan simbol kunci di mahjong ways tanpa terjebak pola palsu

pendekatan praktis membaca arah mahjong ways 1 dari putaran percobaan

strategi bermain aman pada tahap awal mahjong ways 2 saat pola masih dibentuk

cara memanfaatkan intensitas petir gate of olympus tanpa terpancing overplay

perubahan arah reel secara bertahap mulai menggeser struktur pola starlight princess

durasi bermain terbukti mempengaruhi kemunculan wild dalam pola mahjong scatter hitam

kemunculan simbol tertentu di mahjong ways menunjukkan aktivasi yang tidak selalu berulang

menurunkan tekanan bermain membuat pola menang mahjong ways lebih mudah dikendalikan

analisis harian mengindikasikan deviasi pola putaran mahjong ways 2 pada horizon pendek

aktivitas scatter dalam interval terbatas mulai menggeser vektor momentum mahjong wins

eskalasi intensitas putaran memicu reorganisasi struktur kombinasi pada mahjong ways

gate of olympus memperlihatkan aktivasi bonus lebih cepat pasca penyetelan sistem

distribusi simbol mahjong ways mengarah pada aktivasi periodik dengan pola tidak linear

reduksi tekanan putaran berkorelasi dengan kontrol pola menang pada mahjong ways