Synchronization control of recurrent neural networks with distributed delays

被引：79
|
作者：
Li, Tao [1 ]
Fei, Shu-min [1 ]
Zhang, Kan-jian [1 ]
机构：
[1] Southeast Univ, Res Inst Automat, Nanjing 210096, Jiangsu, Peoples R China
来源：
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | 2008年 / 387卷 / 04期
关键词：
exponential synchronization; recurrent neural networks; Lyapunov functional; distributed delay; LMI approach; DEPENDENT EXPONENTIAL STABILITY; GLOBAL ROBUST STABILITY; TIME-VARYING DELAYS; CHAOTIC SYSTEMS; ATTRACTORS; DISCRETE;
D O I：
10.1016/j.physa.2007.10.010
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
This paper deals with the synchronization problem of the recurrent neural networks with time-varying and distributed time-varying delays. Based on the drive-response concept, LMI approach and the Lyapunov stability theorem, a delay-dependent feedback controller is derived to achieve the exponential synchronization. The derivative of the time-varying delay being less than I is released and the activation functions are assumed to be of more general descriptions, which generalize and improve those earlier methods. Finally, two numerical examples are given to demonstrate the effectiveness of the presented synchronization scheme. (c) 2007 Elsevier B.V. All rights reserved.
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页码：982 / 996
页数：15
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