Exponential synchronization of chaotic neural networks with mixed delays

被引：52
作者：
Li, Tao [1 ]
Fei, Shu-min [1 ]
Zhu, Qing [1 ]
Cong, Shen [2 ]
机构：
[1] Southeast Univ, Minist Educ, Key Lab Measurement & Control Complex Syst Engn, Jiangsu 210096, Peoples R China
[2] Nanjing Univ Sci & Technol, Sch Automat, Jiangsu 210094, Peoples R China
来源：
NEUROCOMPUTING | 2008年 / 71卷 / 13-15期
基金：
中国国家自然科学基金;
关键词：
exponential synchronization; chaotic neural networks; Lyapunov functional; time-varying delays; LMI approach;
D O I：
10.1016/j.neucom.2007.12.029
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper deals with the synchronization problem of the chaotic neural networks with time-varying and distributed time-varying delays. Based on the drive-response concept, LMI approach and the Lyapunov stability theorem, a novel control method is presented and two sufficient conditions have been obtained to ensure the global exponential stability for the error system which helps the drive system synchronize with the response system. In addition, the activation functions are assumed to be of more general descriptions, which generalizes and improves those earlier methods. Finally, two numerical examples are given to demonstrate the effectiveness of presented synchronization scheme. (c) 2008 Published by Elsevier B.V.
引用
收藏
页码：3005 / 3019
页数：15
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