Digital Controller Design: Discrete-Time Models

Related lectures (29)

Page 3 of 3

Provides a recap on frequency methods for designing PD controllers for systems.

Explores learning and control for complex systems, addressing challenges and opportunities in technology and interdisciplinary research.

Explores the impact of P, D, and I parameters on control systems in robotics.

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

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

Explores Nonlinear Model Predictive Control, covering stability, optimality, pitfalls, and examples.

Explores cascade control for furnace temperature and gas pressure regulation, showcasing its advantages over single-loop systems.

Explores the Ziegler-Nichols method for PID controller design and manual tuning in industry.

Covers the design of feedforward controllers and ideal disturbance rejection in process control.