General decay synchronization stability for a class of delayed chaotic neural networks with discontinuous activations

被引：39
|
作者：
Wang, Leimin [1 ,2 ]
Shen, Yi [1 ,2 ]
Zhang, Guodong [3 ]
机构：
[1] Huazhong Univ Sci & Technol, Sch Automat, Wuhan 430074, Peoples R China
[2] Minist China, Key Lab Image Proc & Intelligent Control Educ, Wuhan 430074, Peoples R China
[3] South Cent Univ Nationalities, Coll Math & Stat, Wuhan 430074, Peoples R China
来源：
NEUROCOMPUTING | 2016年 / 179卷
基金：
美国国家科学基金会; 中国国家自然科学基金;
关键词：
Delayed neural networks; Discontinuous activations; General decay synchronization; Decay function; TIME-VARYING DELAYS; ROBUST SYNCHRONIZATION; IMPULSIVE SYNCHRONIZATION; GLOBAL CONVERGENCE; FINITE-TIME; SYSTEMS;
D O I：
10.1016/j.neucom.2015.11.077
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 is concerned with the synchronization problem for a class of delayed chaotic neural networks with discontinuous activations. First a lemma which concerns stability in general decay rate is constructed. Based on this lemma, the general decay synchronization stability criteria of discontinuous neural networks are derived via a designed controller. The general decay synchronization is obtained by introducing a decay function and it contains exponential synchronization and polynomial synchronization as its two special cases. Finally, two examples are given to verify the effectiveness of the obtained results. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码：169 / 175
页数：7
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