Control Systems II

1.5 credits · Undergraduate

Modelling dynamic systems in time domain (multi-input-multi-output, MIMO, control systems). State-space analysis of linear systems (controllability, observability, stability), compensator design for regulators, tracking and disturbance-rejection systems based on eigenvalue placement and integral-time-absolute-error (ITAE) criteria. Design of stable linear observers and observer-based compensators. Introduction to optimal control, optimization concept and cost functions, linear quadratic regulators (LQR). Implementation into simulation-based autonomous systems in laboratory exercises.