Lars Lindemann

Learning Input-Constrained Funnel Controllers from State Trajectory Data

Designing feedback controllers that satisfy predefined performance specifications while enforcing hard input constraints is a challenging task. Our work is motivated by the idea that state trajectory data, e.g., obtained from an expert controller, often implicitly encode feasible performance attributes and input limita...