Skip to main content

Digital Control Systems


3.0 Credit, 3 Lecture, 0 Lab
Design of digital controllers for dynamical systems, analysis using the z-transform, digital filter implementation, application of transform-based classical design methods, and modern state-space techniques.

Digital Filters

The ability to design digital filters for purposes of feedback control and implement them in a sampled data system using difference equations.

Transform-Based Techniques

The ability to design, analyze, and implement digital control systems using transform-based techniques in the z-domain.

State-Space-Based Techniques

The ability to design and analyze digitally implemented controllers and observers using state-space-based techniques in the z-domain.

Optimal Control and Estimation

An understanding of the methods of optimal control and estimation as they apply to digitally implemented control systems.