Exponential synchronization of memristor-based recurrent neural networks with time delays

被引：152

作者：

Wu, Ailong ^{[1
,2
]}

Zeng, Zhigang ^{[1
,2
]}

Zhu, Xusheng ^{[3
]}

Zhang, Jine ^{[3
]}

机构：

[1] Huazhong Univ Sci & Technol, Dept Control Sci & Engn, Wuhan 430074, Peoples R China

[2] Educ Minist China, Key Lab Image Proc & Intelligent Control, Wuhan 430074, Peoples R China

[3] E China Jiaotong Univ, Sch Basic Sci, Nanchang 330013, Peoples R China

来源：

NEUROCOMPUTING | 2011年 / 74卷 / 17期

基金：

高等学校博士学科点专项科研基金;

关键词：

Memristor; Circuit analysis; Recurrent neural networks; Synchronization control; NONLINEAR-SYSTEM IDENTIFICATION; DISTRIBUTED DELAYS; STABILITY ANALYSIS; DISCRETE; ELEMENT;

D O I：

10.1016/j.neucom.2011.04.016

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 synchronization control of a general class of memristor-based recurrent neural networks with time delays is investigated. A delay-dependent feedback controller is derived to achieve the exponential synchronization based on the drive-response concept, linear matrix inequalities (LMIs) and Lyapunov functional method. Finally, a numerical example is given to illustrate the derived theoretical results. Crown Copyright (C) 2011 Published by Elsevier B.V. All rights reserved.

引用

页码：3043 / 3050

页数：8

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