Improving Uniform Ultimate Bounded Response of Neuroadaptive Control Approaches using Command Governors
Abstract
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.
Recommended Citation
D. Magree et al., "Improving Uniform Ultimate Bounded Response of Neuroadaptive Control Approaches using Command Governors," AIAA Guidance, Navigation, and Control (GNC) Conference, American Institute of Aeronautics and Astronautics, Sep 2013.
Department(s)
Mechanical and Aerospace Engineering
International Standard Book Number (ISBN)
978-162410224-0
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 American Institute of Aeronautics and Astronautics, All rights reserved.
Publication Date
16 Sep 2013
