Data-Driven Control: Applications and Methods

Related lectures (29)

Page 1 of 3

Explores reachability and controllability in multivariable control systems, discussing tests, proofs, and their implications.

Explores Infinite-Horizon Linear Quadratic (LQ) optimal control, emphasizing solution methods and practical examples.

Explores weight design and stability analysis in multivariable control systems, emphasizing Lyapunov theory and LQR stability.

Covers the design and analysis of multivariable control systems, focusing on stability and zero steady-state tracking error.

Explores Linear Quadratic optimal control theory, covering FH-LQ and IH-LQ problems and the importance of observability in control systems.

Explores learning and control for complex systems, addressing challenges and opportunities in technology and interdisciplinary research.

Explores linear quadratic Gaussian control and the challenges of modeling errors in control systems.

Explores integral control, disturbance estimation, controller design, and observer design in multivariable control systems.

Explores Nonlinear Model Predictive Control, covering stability, optimality, pitfalls, and examples.

Covers the synthesis in the Bode diagram, dynamic controls, and the link between the Bode and Nyquist diagrams.