Course overview
This hands-on course covers a variety of advanced topics in automatic control system design. This involves time domain descriptions of dynamic systems using state-space system models. Control laws using state-space methods are introduced, including optimal control (LQR and LQG) and advanced PID. State observers are presented, including observer design using both pole placement and optimal (Kalman) observers. The implementation of state space controllers and Kalman filters in digital systems is also covered.
- State Space Models and Applications
- Control and Observe
- Advanced Topics
Course learning outcomes
- Design and construct state-space representation of dynamic systems
- Investigate basic control concepts: controllability, observability, stability for control systems
- Design and build full-state feedback control systems
- Design and build optimal control systems
- Design and build state estimators/observers
- Simulate state space representation of control systems in MATLAB/Simulink.
Availability
Class details
Mawson Lakes
Class number 60011
Section LE01
Size 25
Available 23
Class number 58012
Section PR01
Size 25
Available 23
Class number 58013
Section TU01
Size 25
Available 23
Adelaide City Campus East
Class number 60010
Section LE01
Size 200
Available 155
Class number 58014
Section PR01
Size 60
Available 15
Class number 58016
Section TU01
Size 25
Available 1
Class number 58015
Section TU02
Size 25
Available 4
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