Networked Control Systems: Protocol-induced Delays and Time-varying Sampling

Related lectures (31)

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Explores the Sampling Theorem, digital control, signal reconstruction, and anti-aliasing filters.

Explores stability analysis and delay compensation in networked control systems, emphasizing the importance of compensating for known delays.

Explores networked control systems, covering delays, collisions, MAC protocols, and network architectures.

Explores the stability of networked control systems under packet loss and stochastic dropouts, emphasizing mean-square stability and robustness.

Covers determinantal point processes, sine-process, and their extrapolation in different spaces.

Covers the importance of sampling in signal processing, including the sampling theorem and signal reconstruction.

Covers Monte Carlo methods, variance reduction, and stochastic optimal control, exploring simulation techniques, efficiency, and investment dynamics.

Covers the importance of sampling, signal reconstruction, and aliasing in digital representation.

Covers the review of linear discrete-time systems and Lyapunov theory, focusing on stability and equilibria.

Explores the applications of Kalman Filtering in control and communication systems, focusing on state estimation and channel estimation.