State-Space Representation: Controllability and Observability

Related lectures (31)

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

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.

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

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

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

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

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