Lectures related to Industrial Automation: Overview and Control Systems

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

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

Delves into the impact of quantization on networked control systems, exploring stability, performance, and design trade-offs.

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

Covers the elements of a control loop and process control.

Explores cascade control, showcasing examples and characteristics, and recommends its use in specific scenarios.

Covers closed-loop transfer functions in control systems, focusing on computing system responses to impulsive disturbances.

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