ME-326: Control systems and discrete-time control

Lectures in this course (34)

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

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

Focuses on designing proportional regulators for error-free ramp inputs and introduces lead and lag compensators.

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

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

Covers state representation, controller design, LQR controllers, and optimal control criteria.

Covers the design of a regulator and state estimator for optimal control.

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

Explores the Sampling Theorem, digital control, signal reconstruction, and anti-aliasing filters.

Explores Z-transform, system properties, and analysis of discrete systems, focusing on stability and transfer functions.

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

Explores Z-transform, stability analysis, and discrete-time controller implementation.

Covers digital controller design, focusing on discrete-time models and the pole placement technique.

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

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