Abstract and Applied Analysis
Volume 2013 (2013), Article ID 543549, 14 pages
http://dx.doi.org/10.1155/2013/543549
Research Article

Synchronization of Chaotic Delayed Fuzzy Neural Networks under Impulsive and Stochastic Perturbations

Bing Li1,2 and Qiankun Song1

1College of Science, Chongqing Jiaotong University, Chongqing 400074, China
2Yangtze Center of Mathematics, Sichuan University, Chengdu 610064, China

Received 4 October 2012; Revised 3 December 2012; Accepted 14 December 2012

Academic Editor: Xiaodi Li

Copyright © 2013 Bing Li and Qiankun Song. 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

The synchronization problem of chaotic fuzzy cellular neural networks with mixed delays is investigated. By an impulsive integrodifferential inequality and the Itô's formula, some sufficient criteria to synchronize the networks under both impulsive and stochastic perturbations are obtained. The example and simulations are given to demonstrate the efficiency and advantages of the proposed results.