Basic research
Distributed Intelligent Energy Management for Smart Microgrids
With the increasing number of controllable distributed energy resources and responsive demands integrated into the power system, the control and management of these resources will become a challenge. This project focuses on utilizing distributed control concept to economically and intelligently manage these energy resources and demands to improve the power quality, maximize the benefit of the unit owners while ensuring their privacy.
Intelligent Space (iSpace)
Adaptive Battery Management System Testbed, Summer 2012
About the Project Students built a fast-prototyping experimental platform for future battery tests. By implementing the battery monitoring algorithms on this PHEV testbed, the algorithms can be evaluated and optimized and thus make PHEV batteries more reliable....
Battery Monitoring System
Distributed Cooperative Performance Optimization for Large-scale PHEV/PEV Charging
Designing efficient demand management policies for charging Plug-in Hybrid Electrical Vehicles (PHEVs) and Plug-in Electrical Vehicles (PEVs) is becoming a vital issue as increasing numbers of these vehicles are being introduced to the power grid. Since these...
AIS Gene Library Based Real-Time Resource Allocation on Time-Sensitive Large-Scale Multi-Rate Systems
When looking forward towards Intelligent Transportation Systems (ITS), driver warning systems are an integral part of an ITS. There is a need for warning systems that can integrate the information that is currently available in the vehicles with the information about...
Control of Dynamic Network based Systems under Conditions of Partial or Missing Information using Stochastic Resonance
Intelligent Network-Based Control
Fig. 1 Intelligent Space via Network-Based Control. Project Description: The main objective of the Intelligent Network-Based Control Project is to develope a wireless unmanned vehicle to find its way through a platform with obstacles. It should arrive at the...
Edge detection and HPF based iSpace – Intelligent Space
Project Description: Intelligent space is a concept which fuses global information using sensors and actuators to take intelligent operational decisions for applications like robot navigation, tele-operation, remote surgery, manufacturing plant monitoring etc. iSpace...
Predictive Constrained Gain Scheduling for Robot Path Tracking in a Networked Control System
Project Description: In this project a predictive gain scheduler for robot path tracking control in a networked control system with variable delay is being developed. The controller uses the plant model to predict future position and find the amount of travel possible...