Synchronization analysis for coupled static neural networks with stochastic disturbance and interval time-varying delay

被引：4
|
作者：
Li, Yushuai [1 ]
Huang, Bonan [1 ]
Zhang, Huaguang [1 ]
机构：
[1] Northeastern Univ, Coll Informat Sci & Engn, Box 134, Shenyang 110819, Liaoning, Peoples R China
来源：
NEURAL COMPUTING & APPLICATIONS | 2018年 / 30卷 / 04期
基金：
中国国家自然科学基金; 中国博士后科学基金;
关键词：
Stochastic synchronization; Coupled static neural networks; Augmented Lyapunov-Krasovskii functional; Linear matrix inequality; GLOBAL SYNCHRONIZATION; MIXED DELAYS; EXPONENTIAL STABILITY; COMPLEX NETWORKS; BIFURCATION; ARRAY;
D O I：
10.1007/s00521-016-2724-7
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 stochastic synchronization problem of coupled static neural networks with interval time-varying delays. By employing the augmented Lyapunov-Krasovskii method and a new method to deal with the Kronecker product, a delay-dependent synchronization criterion is established to guarantee the global asymptotical mean-square synchronization of the addressed delayed networks with stochastic disturbances. The obtained result is formulated in terms of linear matrix inequalities which can be easily checked. Finally, two numerical examples are provided to illustrate the effectiveness of the proposed results.
引用
收藏
页码：1123 / 1132
页数：10
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