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Lecture
State-Space Control Design
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Related lectures (32)
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Applications of Laplace Transform: State Space Modeling
Explores the application of Laplace transform in state space modeling of linear systems and the control of dynamic systems.
Modeling Dynamic Systems: Definitions and Examples
Covers the modeling of dynamic systems, including definitions, examples, and linearization processes for easier analysis.
Passivity, Stability and Circle Criterion
Covers passivity, absolute stability, and the circle criterion in linear systems with feedback.
Controllability and Reachability
Explores reachability and controllability in multivariable control systems, discussing tests, proofs, and their implications.
Optimal Control and State Estimation
Covers the design of a regulator and state estimator for optimal control.
State Representation and Controller Design
Covers state representation, controller design, LQR controllers, and optimal control criteria.
Approximate linearization
Explains the procedure of linearizing a non-linear system around equilibrium points.
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.
State-Space Representation: Controllability and Observability
Explores state-space representation, controllability, observability, and regulator calculation using the Ackermann method.
Toy example: linearization
Covers the linearization procedure applied to a first-order system with a nonlinearity.