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
Adelaide City Campus East
Group 1
Class number 61510
Section PR02
Size 60
Available 54
Class number 61511
Section PR01
Size 60
Available 41
Class number 61512
Section TU03
Size 40
Available 37
Class number 61513
Section TU02
Size 40
Available 29
Class number 61514
Section TU01
Size 40
Available 29
Mawson Lakes
Group 1
Class number 61542
Section PR01
Size 25
Available 21
Class number 61543
Section TU01
Size 25
Available 21
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