Lectures related to Networked Control Systems: Stability Analysis and Estimation

Explores protocol-induced delays, time-varying sampling, wireless control networks, and system stability.

Explores the impact of delays and sampling on networked control systems' stability, with examples and simulations.

Explores Networked Control Systems, addressing packet dropouts, network delays, stability, and control laws for system boundability.

Covers equilibria, stability analysis, and Lyapunov theory in linear systems, focusing on eigenvalues and stability properties.

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

Explores system identification, stability criteria, and challenges in stabilizing cameras on moving platforms.

Explores compensation of transmission delays in remote-control settings to ensure stability in networked control systems.

Explores the impact of packet dropouts on networked control system stability and analyzes methods to estimate maximal admissible drop rates.

Explores Z-transform analysis for discrete-time systems and transfer functions in control systems.

Covers the analysis and properties of Linear Time-Invariant (LTI) systems.

Explores the stability of Networked Control Systems under deterministic packet drops and the estimation of the maximal drop rate.

Explores stability and eigenvalues of LTI systems, reachability, and controllability of dynamical systems.

Explores the application of final value theorem and static gain in control systems.

Explores the Model Reference Method for designing PID regulators and cascade controllers for complex systems.

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

Delves into the impact of quantization on networked control systems, exploring stability, performance, and design trade-offs.

Explores Lyapunov stability analysis, demonstrating stability determination and function calculation for control systems.

Covers BIBO stability, Lyapunov stability, state feedback, and eigenvalue assignment.

Covers the sampling of complex exponentials and the challenges of reconstruction in different scenarios.

Explores stability, sensitivity, tracking performance, and regulation error in control systems.