Discrete-Time Control Systems ELEX 8180

Upon successful completion, the student will be able to:

• Select appropriate model structures and noise model structures for a control model.
• Implement off line and real time system identification algorithms such as least squares, instrumental variable methods and maximum likelihood methods and frequency domain and correlation methods.
• Describe various controller tuning methods.
• Map continuous time models to the discrete domain and vice versa.
• Describe the effect of sampling on control.
• Implement PID, state space, frequency domain, polynomial and LQR design methods for single input, single output control systems.
• Design continuous and discrete time deterministic state observers and Kalman filters.
• Implement selector control to deal with limits.
• Design a cascade control system.
• Apply feedforward in a control design.
• Implement dead time compensation control designs.
• Design anti-aliasing filters and describe the effect of aliasing and folding .
• Implement signal reconstruction algorithms.
• Describe methods to deal with nonlinearities in a control system.
• Describe some methods to deal with multivariable control systems.
• Implement logic programming using state machine diagrams.
• Use modern software to implement graphical user interfaces.
• Implement real time control using rapid prototyping tools.

Effective as of Winter 2007