Research OCAI-Lab
Optimal Control and Artificial Intelligence Lab
The Optimal Control and Artificial Intelligence Lab (OCAI-Lab) at Oakland University was established in 2020. The primary research of OCAI-Lab are in the areas of AI-enhanced control algorithm development with application in intelligent vehicles and power & energy systems. The projects involve fundamental research on control theory, optimization, artificial intelligence, and statistics to support cyber-physical systems development including smart energy and transportation systems.
Research Areas
AI-enhanced Control (Collaborators: Zhaojian Li, Xiangyu Meng)
Event-triggered MPC
Reinforcement Learning-based MPC
Scenario Generation
Reconfigurable MPC
Intelligent Vehicles (Collaborators: Zhaojian Li, Lei Zhang)
Autonomous Vehicle Path Following
Electric Vehicles Driveline Control
Active Battery Cell Balancing
Co-simulation and Small-scale Experiment Platforms
Power & Energy Systems (Collaborators: Wencong Su, Guojiang Xiong, Shengrong Bu)
Control of Power Converter
Hybrid Renewable Energy Systems
Project Sponsors
