At the Intelligent Control Systems (ICONS) Laboratory, we develop the learning and control foundation of intelligent cyber-physical systems, with applications in autonomous systems.
An intelligent cyber-physical system (iCPS) integrates deeply machine learning (ML) and artificial intelligence (AI) for decision and real-time control of a CPS to achieve high performance, adaptability, autonomy, and safety. By integrating learning, AI, control, and optimization, we create methods, algorithms, and engineering solutions for autonomous learning and real-time operation of iCPS. Our research and research approaches are multi-disciplinary, combining theories and techniques from
We are particularly interested in the following application areas: