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Gradient Descent for LQR Controllers
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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: Design and Analysis
Explores integral control, disturbance estimation, controller design, and observer design in multivariable control systems.
Multivariable Control
Covers Gaussian random variables, affine transformations, and linear systems driven by Gaussian noise in multivariable control.
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: Observers and Controllers
Covers the design of reduced-order observers and output feedback controllers in multivariable control systems.
Multivariable Control: State Estimation and Disturbance Rejection
Covers the design of estimators and controllers for multivariable systems, focusing on state estimation and disturbance rejection.
Multivariable Control: Correlated Noise
Explores the handling of correlated noise in multivariable control systems, emphasizing the Kalman Filter's adaptation and performance evaluation.
Luenberger Observers: Separation Principle
Explores Luenberger observers in multivariable control systems, emphasizing observer stability, separation principle, and filter design.
Steady-state Kalman Predictor: Examples and Comparison
Discusses the steady-state Kalman predictor, provides examples, and compares Luenberger and Kalman filtering.
Duality and PBH Test in Multivariable Control
Explores duality, PBH test, observability, and exact discretization in multivariable control systems.
