*****COURSES ARE SUBJECT TO CHANGE*****
Advanced methods for the design of control algorithms for systems with nonlinearities, input constraints, network actuators/sensors, and intermittent availability of information. Modeling of nonlinear system, Lyapunov stability, feedback redesign, nonlinear damping, control-Lyapunov functions, gain scheduling, passivity, network control, self- and event-triggered control, hybrid feedback control. Students validate analytical results using tools for numerical simulation of control systems.
This class has not been taught recently.
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