Learning Input-Constrained Funnel Controllers from State Trajectory Data
This work synthesizes a prescribed performance controller by combining nominal model compensation with a learned state-dependent feedback gain and establishes two complementary guarantees: a semi-global conservative actuator-authority-based certificate for prescribed performance and input satisfaction, and a local data...