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.
Course learning outcomes
- Explain control concepts such as controllability, observability, poles and zeros, stability
- Design optimal control systems
- Design state estimators
- Design advanced PID controllers
- Design Digital Controllers by emulation
- Implement control systems in MATLAB/Simulink
Degree list
The following degrees include this course