The focus of the course is on the design of advanced controllers for cyber-physical systems, that is, systems in which the controller is an embedded computer that can sense and actuate a physical plant. Advanced computational control strategies like Model Predictive Control, Reinforcement Learning, and Data-Driven control will be covered.

Game Theory is the study of strategic decision making, and was originally used to solve problems in economics. We study concepts and methods in non-cooperative game theory and show how these can be used to solve control design problems, emphasizing their possible use in control, robotics, and engineering applications.