Mathematical Problems in Engineering
Volume 2012 (2012), Article ID 852161, 16 pages
http://dx.doi.org/10.1155/2012/852161
Research Article

Adaptive Neural Control for a Class of Outputs Time-Delay Nonlinear Systems

Ruliang Wang1 and Jie Li2

1Computer and Information Engineering College, Guangxi Teachers Education University, Nanning 530023, China
2School of Mathematical Sciences, Guangxi Teachers Education University, Nanning 530023, China

Received 25 April 2012; Accepted 26 August 2012

Academic Editor: Yiu-ming Cheung

Copyright © 2012 Ruliang Wang and Jie Li. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

This paper considers an adaptive neural control for a class of outputs time-delay nonlinear systems with perturbed or no. Based on RBF neural networks, the radius basis function (RBF) neural networks is employed to estimate the unknown continuous functions. The proposed control guarantees that all closed-loop signals remain bounded. The simulation results demonstrate the effectiveness of the proposed control scheme.