Lectures related to Stability: Poles, Zeros, and Control

Explores state-space representation, controllability, observability, and regulator calculation using the Ackermann method.

Covers the synthesis in the Bode diagram, dynamic controls, and the link between the Bode and Nyquist diagrams.

Covers the basics of state-space representation and explores transformations to different forms.

Covers the Nyquist criterion for stability analysis in control systems, using the Nyquist diagram to determine closed loop poles.

Explores weight design and stability analysis in multivariable control systems, emphasizing Lyapunov theory and LQR stability.

Covers the principles of feedback control systems and their applications in various fields.

Covers the structure theorem for state-space representations and companion forms.

Explores control of dynamic systems, impulse response, Laplace transform, and Fourier transform for solving differential equations.

Covers controllability and observability in linear systems, discussing necessary conditions and implications of unimodular matrices.

Covers the computation of tracking performance and transfer functions in digital control systems.

Explores exact and approximate sampling in multivariable control systems, discussing stability, eigenvalues, and system properties.

Explores observability and controllability in linear systems, emphasizing the significance of input decoupling for observability.

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

Covers the design of observers in control systems and the computation of state feedback controllers.

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

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

Explores observability, governability, state regulators, and canonical forms in dynamic systems.

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

Explores safe learning in automatic control systems, covering challenges, risk-sensitive control, and predictive safety filters.