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Lecture
Linear Quadratic Gaussian Control: Kalman Filtering and LQG Control
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State Observers and Output-Feedback Controllers
Covers the design and implementation of state observers and output-feedback controllers in multivariable control systems.
Multivariable Control: Kalman Predictor and Estimators
Explores Kalman predictors and estimators in multivariable control systems.
Kalman Filter: Channel Estimation and Control
Explores Kalman Filter for estimating channel coefficients in communication systems and its performance in noisy environments.
Kalman Filter: Minimal Variance Estimator
Explores the Kalman filter as a minimal variance estimator and its application in estimating position and velocity.
Multivariable Control: Design and Analysis
Explores integral control, disturbance estimation, controller design, and observer design in multivariable control systems.
Time-Varying Kalman Filter: Properties and Applications
Explores the time-varying Kalman filter, state estimation, challenges in conditioning on measured outputs, and the importance of affine transformations.
Multivariable Control: Eigenvalue Assignment and Disturbance Estimation
Discusses closed-loop eigenvalue selection and disturbance impact in multivariable control systems.
Multivariable Control: Weight Design and Stability Analysis
Explores weight design and stability analysis in multivariable control systems, emphasizing Lyapunov theory and LQR stability.
Image Processing Techniques
Covers image processing techniques including noise addition, filtering, and image enhancement using various filters and tools.
Eigenvalue Assignment in Multivariable Control
Explores Ackermann's formula and methods for eigenvalue assignment in multivariable control systems.
