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Lecture
Multivariable Control: Design and Analysis
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Related lectures (32)
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Eigenvalue Assignment in Multivariable Control
Explores Ackermann's formula and methods for eigenvalue assignment in multivariable control systems.
Observability in Multivariable Control
Explores observability in multivariable control systems and the PBH test for system reachability.
Introduction to Multivariable Control
Covers the basics of multivariable control, including system modeling, temperature control, and optimal strategies, emphasizing the importance of considering all inputs and outputs simultaneously.
Model Reference Method: PID Regulator Design
Explores the Model Reference Method for designing PID regulators and cascade controllers for complex systems.
Controllability and Reachability
Explores reachability and controllability in multivariable control systems, discussing tests, proofs, and their implications.
Duality and PBH Test in Multivariable Control
Explores duality, PBH test, observability, and exact discretization in multivariable control systems.
Kalman Filter: Linearized vs Extended
Explores the linearized and extended Kalman Filters, illustrating their application in nonlinear systems and the estimation of unknown parameters.
Linear Quadratic Optimal Control: Theory and Applications
Explores Linear Quadratic optimal control theory, covering FH-LQ and IH-LQ problems and the importance of observability in control systems.
Nyquist Stability Criteria
Explains Nyquist stability criteria and loop shaping for system performance and robustness.
Exact and Approximate Sampling in Multivariable Control
Explores exact and approximate sampling in multivariable control systems, discussing stability, eigenvalues, and system properties.
