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Lecture
Kalman Filtering: Applications in Control and Communication Systems
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Multivariable Control: Linear Quadratic Gaussian Control
Explores linear quadratic Gaussian control and the challenges of modeling errors in control systems.
Kalman Filter: Channel Estimation and Control
Explores Kalman Filter for estimating channel coefficients in communication systems and its performance in noisy environments.
Multivariable Control: State Estimation and Kalman Filtering
Explores state estimation and Kalman filtering for multivariable control systems, with applications in communication channels and vehicle navigation.
Kalman Filter: Linearized vs Extended
Explores the linearized and extended Kalman Filters, illustrating their application in nonlinear systems and the estimation of unknown parameters.
Quantization in Networked Control Systems
Delves into the impact of quantization on networked control systems, exploring stability, performance, and design trade-offs.
Digital PID Control: Filtering Noisy Signals
Discusses digital PID controllers, noise filtering in feedback controllers, and the challenges of approximating integral and derivative terms.
Multivariable Control: Design and Analysis
Covers the design and analysis of multivariable control systems, focusing on stability and zero steady-state tracking error.
Kalman Filter: Introduction
Introduces the Kalman Filter, a method to estimate system state from noisy measurements.
Extended Kalman Predictor: Linearized KF
Explores the Extended Kalman Predictor algorithm and the linearized Kalman Filter for multivariable control systems, discussing the challenges and applications.
Sampling Theorem and Control Systems
Explores the Sampling Theorem, digital control, signal reconstruction, and anti-aliasing filters.
