Optimal Control and State Estimation

Related lectures (32)

Page 1 of 4

Explores state-space representation, controllability, observability, and regulator calculation using the Ackermann method.

Covers the principles of feedback control systems and their applications in various fields.

Covers state representation, controller design, LQR controllers, and optimal control criteria.

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

Covers the basics of state-space representation and explores transformations to different forms.

Covers system theory, classic feedback control, and applications in green building and natural gas refrigeration plants.

Covers the structure theorem for state-space representations and companion forms.

Explores the shift from continuous to discrete control systems, focusing on the challenges and benefits of digital implementation.

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

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