StateSpace ControlDesign

Related lectures (31)

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

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

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.

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

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

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

Explains Nyquist stability criteria and loop shaping for system performance and robustness.

Explores the shift from continuous to discrete control systems, focusing on the challenges and benefits of digital implementation.

Covers the proof of the recursive formula for the optimal gains in LQ control over a finite horizon.