Data-Driven Control: Applications and Methods

This lecture by the instructor covers the topic of Data-Driven Control, focusing on its applications and methods. It discusses Time-Domain Methods, Frequency-Domain Methods, and their applications in Atomic Force Microscope control, Particle Trajectory Control in CERN, Distributed Control of Microgrids, and Coordinate Measuring Machines. The lecture delves into the principles of Data-Driven Control, including parametric models, laws of physics, and model-based control. It also explores different control design problems, such as loop-shaping control and model reference control, emphasizing robustness and performance. The lecture concludes with a discussion on robustness, control performance, and other control specifications in the context of Data-Driven Control.