2 September 2003 NN-based adaptive control for a class of MIMO nonaffine nonlinear systems
Author Affiliations +
Proceedings Volume 5253, Fifth International Symposium on Instrumentation and Control Technology; (2003) https://doi.org/10.1117/12.522075
Event: Fifth International Symposium on Instrumentation and Control Technology, 2003, Beijing, China
Abstract
Based on neural network (NN) and robust control, an adaptive controller is developed for a class of MIMO nonaffine nonlinear systems. First, take the Taylor series expansion of the original system in the neighborhood of the operating trajectory. Then estimate the unknown functions of the system using NN. Finally, use robust control to overcome the affects of NN estimated error terms and high order terms of the Taylor series expansion. All the signals in the closed-loop system are proven to be uniformly ultimately bounded (UUB) and the mean square and L_infinite tracking error bounds are given in this paper. The simulation results show the effectiveness of the proposed approach.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yunan Hu, Yunan Hu, Youan Zhang, Youan Zhang, } "NN-based adaptive control for a class of MIMO nonaffine nonlinear systems", Proc. SPIE 5253, Fifth International Symposium on Instrumentation and Control Technology, (2 September 2003); doi: 10.1117/12.522075; https://doi.org/10.1117/12.522075
PROCEEDINGS
5 PAGES


SHARE
Back to Top