Discrete-time Systems: Z-transform and Stability

Related lectures (29)

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

Covers the analysis of discrete-time LTI systems, including sampling systems and system responses.

Explores transfer functions, frequency response, Bode diagrams, and poles and zeros in circuits.

Explains the Nyquist rate and Sampling Theorem for reconstructing band-limited signals through examples and sampling techniques.

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

Explains LTI systems, Laplace Transform, transfer function, and system properties.

Explores system identification, stability criteria, and challenges in stabilizing cameras on moving platforms.

Discusses the sampling theorem and its applications in signal processing.

Explores frequency methods in control systems through Bode and Nyquist diagrams, emphasizing system stability and analysis techniques.

Covers Laplace Transform, Fourier Transforms, transfer functions, LTI systems, and Region of Convergence properties.