Observer Design

Related lectures (29)

Page 1 of 3

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

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

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

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

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

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

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

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

Covers stability, poles, zeros, and control in dynamic systems, emphasizing the importance of observability.

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