Improving Uniform Ultimate Boundedness Response of Neuroadaptive Control Approaches Using Command Governors
Daniel P. Magree, Tansel Yucelen, Eric N. Johnson · AIAA Guidance, Navigation, and Control (GNC) Conference · 2013
In this paper, we develop a command governor-based architecture in order to improve the response of neuroadaptive control approaches.Specifically, a command governor is a linear dynamical system that modifies a given desired command to improve transient and steady-state performance of uncertain dynamical systems.It is shown that as the command governor gain is increased, the neuroadaptive system converges to the linear reference system.Simulation results are used to validate the effectiveness of the proposed framework.