Modern Control Systems (PG)

This hands-on course addresses how to control complex dynamic systems using modern state-space techniques. This involves time domain descriptions of dynamic systems using state-space system models. The characteristics responsible for the dynamic response (poles, zeros, eigenvalues) are presented. Control laws using state-space methods are introduced, including specification of controller characteristics, pole placement, and optimal (LQR) control. 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. The learning objectives of the course are achieved using various assessments, including weekly laboratories in which students design control systems for a series of experimental apparatus.