At the iCPS Lab, we develop autonomous and intelligent cyber-physical systems using control, optimization, machine learning / artificial intelligence, and advanced computing. An iCPS integrates tightly machine learning and AI for decision and real-time control of a CPS to achieve high performance, adaptability, autonomy, and safety. Our research approach integrates learning, AI, control, optimization, and computing to create methods, algorithms, and engineering solutions for iCPS.
Our research is both fundamental and applied. The bedrock of our research is a fundamental research thrust that advances the theoretical and algorithmic foundation of learning and control of iCPS. Our practical research thrusts focus on developing smart and autonomous systems in various application domains and on building cyberinstructures for iCPS.
The iCPS Lab is in the Department of Electrical and Computer Engineering, College of Engineering and Computer Science at the University of Central Florida (UCF). We are also affiliated with the School of Modeling, Simulation, and Training.