Artificial Basis Functions in Adaptive Control for Transient Performance Improvement
Abstract
This paper presents a new adaptive control architecture to achieve stabilization and command following of uncertain dynamical systems with improved transient performance. The proposed framework is predicated on a new and novel controller architecture involving an artificial basis function in the update law. Specifically, the proposed artificial basis function allows to shape the system error, which is between the uncertain dynamical system and a reference system capturing a desired closed-loop dynamical system behavior, during the learning phase of an adaptive controller for improving the transient performance. The efficacy of the proposed architecture is illustrated on a numerical example.
Recommended Citation
T. Yucelen and E. N. Johnson, "Artificial Basis Functions in Adaptive Control for Transient Performance Improvement," 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
