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 advanced control and optimization algorithm development with application in automotive and energy systems. The projects involve fundamental research on control theory, optimization, machine learning, and statistics to support cyber-physical systems development including smart energy and transportation systems.

      Research Areas

Research Areas

Model Predictive Control (Collaborators: Xiangyu Meng)

Artificial Intelligence (Collaborators: Zhaojian Li, Shengrong Bu)

Automotive Systems (Collaborators: Lei Zhang)

  • Autonomous Vehicle Path Following (ACC22, CCTA21, WCX22)

  • Electric Vehicles Driveline Control (GT21-1)

  • Active Battery Cell Balancing (CDC21)

  • Co-simulation and Small-scale Experiment Platforms

Energy Systems (Collaborators: Guojiang Xiong, Shengrong Bu)

Project Sponsors



OU       MSGC       IFT      

Disclaimer: Any opinions, findings, and conclusions or recommendations expressed in our research are those of the authors and do not necessarily reflect the views of the project sponsors.