Passivity analysis of memristive neural networks with different memductance functions

被引：41
|
作者：
Wu, Ailong [1 ,2 ,3 ]
Zeng, Zhigang [2 ,3 ]
机构：
[1] Hubei Normal Univ, Coll Math & Stat, Huangshi 435002, Peoples R China
[2] Huazhong Univ Sci & Technol, Sch Automat, Wuhan 430074, Peoples R China
[3] Minist China, Key Lab Image Proc & Intelligent Control Educ, Wuhan 430074, Peoples R China
来源：
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION | 2014年 / 19卷 / 01期
关键词：
Memristor; Discontinuous dynamical systems; Hybrid control systems; Passivity; TIME-VARYING DELAYS; EXPONENTIAL PASSIVITY; INTERVAL; CRITERIA;
D O I：
10.1016/j.cnsns.2013.05.016
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
Memristive neural networks have captured the attention of physicists, biologists, ecologists, economists and social scientists. In this paper, we formulate and investigate a class of memristive neural networks with two different types of memductance functions. Some succinct criteria in terms of linear matrix inequalities for the passivity are proposed. Meanwhile, based on the derived criteria, some stability criterion are obtained for the memristive neural networks. These theoretical analysis can characterize the fundamental electrical properties of memristive systems and provide convenience for applications. Crown Copyright (c) 2013 Published by Elsevier B.V. All rights reserved.
引用
收藏
页码：274 / 285
页数：12
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