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Lecture
State Representation and Controller Design
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Related lectures (32)
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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.
Nonlinear Model Predictive Control
Explores Nonlinear Model Predictive Control, covering stability, optimality, pitfalls, and examples.
Multivariable Control: Weight Design and Stability Analysis
Explores weight design and stability analysis in multivariable control systems, emphasizing Lyapunov theory and LQR stability.
Introduction to Feedback Control Systems: Concepts and Applications
Covers the principles of feedback control systems and their applications in various fields.
Model Reference Method: PID Regulator Design
Explores the Model Reference Method for designing PID regulators and cascade controllers for complex systems.
State-Space Representation: Controllability and Observability
Explores state-space representation, controllability, observability, and regulator calculation using the Ackermann method.
Linear Quadratic Optimal Control: Analysis and Solution
Explores Linear Quadratic optimal control, analyzing cost, and presenting the solution to the FH-LQ problem.
Optimal Control and State Estimation
Covers the design of a regulator and state estimator for optimal control.
Multivariable Control: System Theory and Applications
Covers system theory, classic feedback control, and applications in green building and natural gas refrigeration plants.
Networked Control Systems
Explores Networked Control Systems, addressing packet dropouts, network delays, stability, and control laws for system boundability.