Exponential Synchronization of Coupled Stochastic and Switched Neural Networks with Impulsive Effects

被引：3
|
作者：
Wang, Yangling [1 ,2 ]
Cao, Jinde [1 ]
机构：
[1] Southeast Univ, Res Ctr Complex Syst & Network Sci, Dept Math, Nanjing 210096, Jiangsu, Peoples R China
[2] Nanjing Xiaozhuang Univ, Sch Math & Informat Technol, Nanjing 211171, Jiangsu, Peoples R China
来源：
ADVANCES IN NEURAL NETWORKS - ISNN 2014 | 2014年 / 8866卷
关键词：
Coupled stochastic and switched neural networks; Exponential synchronization; Mixed time-varying delays; Impulsive effects; GLOBAL SYNCHRONIZATION; DELAYS; DISCRETE; SYSTEMS; ARRAY;
D O I：
10.1007/978-3-319-12436-0_9
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we investigate the exponential synchronization of coupled stochastic and switched neural networks (CSSNNs) with mixed time-varying delays. By exerting impulsive controller to the considered dynamical systems in each switching interval, and combining the multiple Lyapunov theory, we obtain a class of sufficient exponential synchronization criteria in terms of nonlinear equations and LMIs, which are easy to check. A simple example is presented to show the application of the criteria obtained in this paper.
引用
收藏
页码：69 / 79
页数：11
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