Digital Controller Design: Discrete-Time Models

Related lectures (29)

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

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

Covers the design and analysis of multivariable control systems, focusing on stability and zero steady-state tracking error.

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

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

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

Explores the effects of poles and zeros on system response and the importance of system modeling and control strategies.

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

Explores reachability and controllability in multivariable control systems, discussing tests, proofs, and their implications.

Covers the basics of digital control and its implementation using a microprocessor.