ME 225CV: SP: LEARNING IN MPC

University of California, Santa Barbara

Explores the use of data to design safe and effective controllers, through the lens of model predictive control. Introduction to standard optimal cont rol and model predictive control formulations, with emphasis on implementat ion rather than theory. Introduction to “learning model predictive control” , which then serves as a foundation for evaluating performance and safety o f other common data-driven control methods (e.g. Reinforcement Learning and Imitation Learning). The course is implementation-focused through a combin ation of lectures and simulation-based control design activities. Experienc e with controls is required; experience with optimization is helpful. Prere qs: 155A or equivalent.