On the exponential synchronization of stochastic jumping chaotic neural networks with mixed delays and sector-bounded non-linearities

被引：56

作者：

Tang, Yang ^{[1
]}

Fang, Jian-an ^{[1
]}

Miao, Qingying ^{[1
,2
]}

机构：

[1] Donghua Univ, Coll Informat Sci & Technol, Shanghai 201620, Peoples R China

[2] Shanghai Jiao Tong Univ, Continue Educ Sch, Shanghai 200030, Peoples R China

来源：

NEUROCOMPUTING | 2009年 / 72卷 / 7-9期

关键词：

SJCNNs; Exponential synchronization; Stochastic system; LMI approach; Markovian jumping parameters; Sector non-linearities; ADAPTIVE LAG SYNCHRONIZATION; STABILITY ANALYSIS; H-INFINITY; DISCRETE; SYSTEMS;

D O I：

10.1016/j.neucom.2008.08.007

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 problem of exponential synchronization for stochastic jumping chaotic neural networks (SJCNNs) with mixed delays and sector non-linearities. Based on Lyapunov-Krasovskii functional and free-weighting matrix method, a delay-dependent feedback controller with sector nonlinearities is proposed to achieve the synchronization in mean square in terms of linear matrix inequalities (LMIs). The activation functions are assumed to be of more general descriptions. Finally, the corresponding simulation results show the effectiveness of the proposed criteria. (C) 2008 Elsevier B.V. All rights reserved.

引用

页码：1694 / 1701

页数：8

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