Digital Control: Introduction and Implementation

Related lectures (45)

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.

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

Covers the synthesis in the Bode diagram, dynamic controls, and the link between the Bode and Nyquist diagrams.

Covers the structure theorem for state-space representations and companion forms.

Delves into symmetries in physics, covering group theory, perturbation, and quantification.

Explores Infinite-Horizon Linear Quadratic (LQ) optimal control, emphasizing solution methods and practical examples.

Covers the process control of a mixing tank and optimizing its performance.

Explains temperature regulation in tank systems through control loop elements and process control.

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

Covers the state-space representation of systems and models in process control.

Covers linearity, causality, and equilibrium points in dynamic systems studied in the course.

Covers methods to determine stability of closed-loop transfer functions in Process Control.

Explains the lead-lag controller, process control, feedforward action, and disturbance rejection in feedback systems.

Explains feedforward controllers using a heat exchanger example.

Covers stability limits and offset error analysis in a cascade control system with two proportional controllers.

Explores derivative action in PID controllers, including measurement noise amplification and historical context.

Covers the elements of a control loop and process control.

Covers the step response and gain of first-order integrating systems.

Covers the inverse Laplace transform with examples and methods for solving complex roots.

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