Passivity-based state synchronization for semi-Markov jump coupled chaotic neural networks with randomly occurring time delays

被引：53

作者：

Hu, Xiaohui ^{[1
]}

Xia, Jianwei ^{[2
]}

Wei, Yunliang ^{[3
]}

Meng, Bo ^{[4
]}

Shen, Hao ^{[1
]}

机构：

[1] Anhui Univ Technol, Sch Elect & Informat Engn, Maanshan 243002, Peoples R China

[2] Liaocheng Univ, Sch Math Sci, Liaocheng 252059, Shandong, Peoples R China

[3] Qufu Normal Univ, Sch Math Sci, Qufu 273165, Shandong, Peoples R China

[4] Shandong Univ Sci & Technol, Coll Math & Syst Sci, Qingdao 266590, Shandong, Peoples R China

来源：

APPLIED MATHEMATICS AND COMPUTATION | 2019年 / 361卷

基金：

中国国家自然科学基金; 中国博士后科学基金;

关键词：

Coupled chaotic neural networks; semi-Markov jump topology; randomly occurring time delays; passivity-based synchronization; COMPLEX DYNAMICAL NETWORKS; SAMPLED-DATA SYNCHRONIZATION; DISSIPATIVE CONTROL; STABILITY ANALYSIS; VARYING DELAYS; SYSTEMS; DISCRETE; MODEL; SUBJECT; STABILIZATION;

D O I：

10.1016/j.amc.2019.05.016

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

In this work, the problem of passivity-based synchronization for coupled chaotic neural networks with randomly occurring time delays is addressed. The topology switching of the networks is subject to the semi-Markov process. Some Bernoulli random variables are used to simulate the randomly occurring phenomena of the aforesaid networks. Furthermore, the main objective is to develop the synchronization criteria such that the considered networks can achieve global stochastic synchronization and conform to the passive performance index. Subsequently, by using some relatively advantageous inequalities and reasonable matrix transformation techniques, some available synchronization criteria are derived. Ultimately, an example is presented to illustrate the applicability and availability of the method proposed. (C) 2019 Elsevier Inc. All rights reserved.

引用

页码：32 / 41

页数：10

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