Multivariable Control: Kalman Predictor and Estimators

Related lectures (32)

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Explores Ackermann's formula and methods for eigenvalue assignment in multivariable control systems.

Explores the Kalman filter as a minimal variance estimator and its application in estimating position and velocity.

Explores sparse matrices in multivariable control, emphasizing projection computation and PGD convergence.

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

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

Covers state-feedback controller design for multivariable systems and discusses simplified methods for MIMO systems.

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

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

Explores observability in multivariable control systems and the PBH test for system reachability.

Explores duality, PBH test, observability, and exact discretization in multivariable control systems.