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Lecture
Introduction to Multivariable Control
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Related lectures (32)
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Multivariable Control: System Theory and Applications
Covers system theory, classic feedback control, and applications in green building and natural gas refrigeration plants.
Controllability and Reachability
Explores reachability and controllability in multivariable control systems, discussing tests, proofs, and their implications.
Multivariable Control: System Theory and Linear Systems
Introduces multivariable control, covering system theory, linear systems, and time discretization.
Kalman Filter: Linearized vs Extended
Explores the linearized and extended Kalman Filters, illustrating their application in nonlinear systems and the estimation of unknown parameters.
Extended Kalman Predictor: Linearized KF
Explores the Extended Kalman Predictor algorithm and the linearized Kalman Filter for multivariable control systems, discussing the challenges and applications.
Multivariable Control: Weight Design and Stability Analysis
Explores weight design and stability analysis in multivariable control systems, emphasizing Lyapunov theory and LQR stability.
Multivariable Control: System Theory and Linear Systems
Introduces the basics of multivariable control, focusing on system theory and linear systems.
Linear Quadratic (LQ) Optimal Control: Proof of Theorem
Covers the proof of the recursive formula for the optimal gains in LQ control over a finite horizon.
Steady-state Kalman Predictor: Examples and Comparison
Discusses the steady-state Kalman predictor, provides examples, and compares Luenberger and Kalman filtering.
State Observers and Output-Feedback Controllers
Covers the design and implementation of state observers and output-feedback controllers in multivariable control systems.
