Stability: Poles, Zeros, and Control

Related lectures (30)

Page 1 of 3

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.