Synchronization of non-identical chaotic delayed fuzzy cellular neural networks based on sliding mode control

被引：37
作者：
Gan, Qintao [1 ]
Xu, Rui [1 ]
Yang, Pinghua [1 ]
机构：
[1] Shijiazhuang Mech Engn Coll, Dept Basic Sci, Shijiazhuang 050003, Hebei Province, Peoples R China
来源：
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION | 2012年 / 17卷 / 01期
基金：
中国国家自然科学基金;
关键词：
Synchronizarion; Fuzzy cellular neural networks; Lyapunov-Krasovskii functional; Sliding mode control; EXPONENTIAL STABILITY; GLOBAL STABILITY; MISMATCH; SYSTEMS;
D O I：
10.1016/j.cnsns.2011.05.014
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
-In this paper, we investigate the synchronization problems of chaotic fuzzy cellular neural networks with time-varying delays. To overcome the difficulty that complete synchronization between non-identical chaotic neural networks cannot be achieved only by utilizing output feedback control, we use a sliding mode control approach to study the synchronization of non-identical chaotic fuzzy cellular neural networks with time-varying delays, where the parameters and activation functions are mismatched. This research demonstrates the effectiveness of application in secure communication. Numerical simulations are carried out to illustrate the main results. (C) 2011 Elsevier B.V. All rights reserved.
引用
收藏
页码：433 / 443
页数：11
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