Stability: Poles, Zeros, and Control

Related lectures (30)

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Explores Dynamic Programming for optimal control, focusing on stability, stationary policy, and recursive solutions.

Covers the modeling of dynamic systems, including definitions, examples, and linearization processes for easier analysis.

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

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

Covers the integration of control and estimation in dynamic systems.

Explores Z-transform, system properties, and analysis of discrete systems, focusing on stability and transfer functions.

Explores Nonlinear Model Predictive Control, covering stability, optimality, pitfalls, and examples.

Explores learning and control for complex systems, addressing challenges and opportunities in technology and interdisciplinary research.

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

Explores the effects of poles and zeros on system response and the importance of system modeling and control strategies.