State Space Control: Discrete Systems

Related lectures (28)

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

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

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

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

Covers the importance of sampling in signal processing, including the sampling theorem and signal reconstruction.

Covers the Fourier transform of sampled signals, reconstruction, and harmonic response.

Covers digital controller design, discrete-time models, RST controller, pole placement, regulation, tracking, and time-domain performance.

Explores Eigenvalue Assignment in multivariable control, emphasizing the effects of discretization and the challenges in preserving system structure.

Covers sampling, Fourier Transform, and reconstruction using low-pass filters in signal processing.

Explores lead and lag compensators for control systems, including PID controllers and spacecraft stabilization design.