Optimal Control and State Estimation

Related lectures (32)

Page 2 of 4

Explores the Model Reference Method for designing PID regulators and cascade controllers for complex systems.

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

Covers the design of observers in control systems and the computation of state feedback controllers.

Covers the integration of control and estimation in dynamic systems.

Explores the significance of feedback mechanisms in visual intelligence and adaptation processes.

Covers stability, poles, zeros, and control in dynamic systems, emphasizing the importance of observability.

Discusses selecting pole locations in state-space control systems to meet time-domain specifications and minimize control effort.

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

Explores full state feedback control design, focusing on pole placement and linear state-feedback controller design for systems like a pendulum.

Covers the proof of the recursive formula for the optimal gains in LQ control over a finite horizon.