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Lecture
Eigenvalue Assignment in Multivariable Control
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Related lectures (32)
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Multivariable Control: State-Feedback and Eigenvalue Assignment
Covers state-feedback controller design for multivariable systems and discusses simplified methods for MIMO systems.
Multivariable Control: Eigenvalue Assignment and Disturbance Estimation
Discusses closed-loop eigenvalue selection and disturbance impact in multivariable control systems.
Eigenvalue Assignment in Multivariable Control
Explores Eigenvalue Assignment in multivariable control, emphasizing the effects of discretization and the challenges in preserving system structure.
State Observers and Output-Feedback Controllers
Covers the design and implementation of state observers and output-feedback controllers in multivariable control systems.
Multivariable Control: Observers and Controllers
Covers the design of reduced-order observers and output feedback controllers in multivariable control systems.
Luenberger Observers: Separation Principle
Explores Luenberger observers in multivariable control systems, emphasizing observer stability, separation principle, and filter design.
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: Design and Analysis
Explores integral control, disturbance estimation, controller design, and observer design in multivariable control systems.
Multivariable Control: Design and Analysis
Covers the design and analysis of multivariable control systems, focusing on stability and zero steady-state tracking error.
Observability in Multivariable Control
Explores observability in multivariable control systems and the PBH test for system reachability.
