Introduction to Multivariable Control

Related lectures (32)

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

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

Covers Gaussian random variables, affine transformations, and linear systems driven by Gaussian noise in multivariable control.

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 Eigenvalue Assignment in multivariable control, emphasizing the effects of discretization and the challenges in preserving system structure.

Explores state estimation and Kalman filtering for multivariable control systems, with applications in communication channels and vehicle navigation.

Explores equilibria and stability analysis in multivariable control systems, focusing on eigenvalues and system modes.

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

Explores Luenberger observers in multivariable control systems, emphasizing observer stability, separation principle, and filter design.