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Lecture
Introduction to Multivariable Control
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Related lectures (32)
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Multivariable Control: Design and Analysis
Covers the design and analysis of multivariable control systems, focusing on stability and zero steady-state tracking error.
Multivariable Control: Reduced-Order Observers
Focuses on designing reduced-order observers in multivariable control systems, emphasizing the importance of observers and eigenvalue assignment in controller design.
Multivariable Control: State-Feedback and Eigenvalue Assignment
Covers state-feedback controller design for multivariable systems and discusses simplified methods for MIMO systems.
Exact and Approximate Sampling in Multivariable Control
Explores exact and approximate sampling in multivariable control systems, discussing stability, eigenvalues, and system properties.
Multivariable Control: Eigenvalue Assignment and Disturbance Estimation
Discusses closed-loop eigenvalue selection and disturbance impact in multivariable control systems.
Sparse Matrices in Multivariable Control
Explores sparse matrices in multivariable control, emphasizing projection computation and PGD convergence.
Multivariable Control: Observers and Controllers
Covers the design of reduced-order observers and output feedback controllers in multivariable control systems.
Multivariable Control: Correlated Noise
Explores the handling of correlated noise in multivariable control systems, emphasizing the Kalman Filter's adaptation and performance evaluation.
Observability in Multivariable Control
Explores observability in multivariable control systems and the PBH test for system reachability.
Multivariable Control: Kalman Predictor and Estimators
Explores Kalman predictors and estimators in multivariable control systems.
