Almost sure adaptive asymptotically synchronization for neutral-type multi-slave neural networks with Markovian jumping parameters and stochastic perturbation

被引：22

作者：

Zhou, Jun ^{[1
,4
]}

Ding, Xiangwu ^{[2
]}

Zhou, Liuwei ^{[1
]}

Zhou, Wuneng ^{[1
]}

Yang, Jun ^{[3
]}

Tong, Dongbing ^{[5
]}

机构：

[1] Donghua Univ, Coll Informat Sci & Technol, Shanghai 200051, Peoples R China

[2] Donghua Univ, Coll Comp Sci & Technol, Shanghai 200051, Peoples R China

[3] Anyang Normal Univ, Coll Math & Stat, Anyang 455000, Peoples R China

[4] Southwest Forestry Univ, Informat & Network Ctr, Kunming 650224, Peoples R China

[5] Shanghai Univ Engn Sci, Coll Elect & Elect Engn, Shanghai 201620, Peoples R China

来源：

NEUROCOMPUTING | 2016年 / 214卷

基金：

中国国家自然科学基金; 上海市自然科学基金;

关键词：

Multi-slave system; Adaptive synchronization; M-matrix; Stochastic perturbation; Markovian switching; DIFFERENTIAL-DELAY EQUATIONS; EXPONENTIAL SYNCHRONIZATION; STABILITY; OPTIMIZATION; SYSTEMS; RESET;

D O I：

10.1016/j.neucom.2016.05.069

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, the problem of adaptive synchronization for time-delay neutral-type multi-slave neural networks with Markovian jumping parameters and stochastic noise is researched. The adaptive synchronization model which contains a drive system and multiple response systems is presented. By using of the generalized Ito's formula and the M-matrix method, the sufficient condition is obtained to guarantee that the error control system is stable, and the update law of the feedback controller is designed to ensure that every slave system synchronizes with master system. Finally, a numerical example is given to illustrate the effectiveness of the method and result obtained in this paper. (C) 2016 Elsevier B.V. All rights reserved.

引用

页码：44 / 52

页数：9

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