Multivariable Control: Weight Design and Stability Analysis

Related lectures (32)

Page 1 of 4

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

Explores multivariable control, optimal laws, and system stability theorems, emphasizing the importance of observability.

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

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

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

Explores Networked Control Systems, addressing packet dropouts, network delays, stability, and control laws for system boundability.

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

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

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

Explores exact and approximate sampling in multivariable control systems, discussing stability, eigenvalues, and system properties.