Control Theory

Description

The student is able to apply the basic time-domain system identification procedure for linear time-invariant systems with one input and one output. This includes: selection of a a system model structure, selection of a system excitation, linear-least squares model parameter estimation and validation of the model accuracy. The student is able to linearize a nonlinear system, that is, to derive an approximate linear model for a given or to be determined equilibrium state. For a given linear time-invariant single-input single-output system and given design specification in time domain or frequency domain, the student is able to design a classical compensator using frequency-domain methods (choosing a type of compensator and determining its parameters); design a compensator based on state-feedback, including a closed-loop state estimator; add feed forward to a classical compensator or a state-feedback compensator to eliminate steady-state errors on various input signals; evaluate the designs above critically. The student is able to design a Kalman filter to estimate the states of a linear or nonlinear system optimally, and to evaluate the design critically.