Exponential passivity of memristive neural networks with time delays

被引：86
|
作者：
Wu, Ailong [1 ,2 ,3 ]
Zeng, Zhigang [3 ]
机构：
[1] Hubei Normal Univ, Coll Math & Stat, Huangshi 435002, Peoples R China
[2] Xi An Jiao Tong Univ, Inst Informat & Syst Sci, Xian 710049, Peoples R China
[3] Huazhong Univ Sci & Technol, Sch Automat, Wuhan 430074, Peoples R China
来源：
NEURAL NETWORKS | 2014年 / 49卷
关键词：
Hybrid systems; Memristive neural networks; Exponential passivity; INTERVAL; DISCRETE; CRITERIA;
D O I：
10.1016/j.neunet.2013.09.002
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Memristive neural networks are studied across many fields of science. To uncover their structural design principles, the paper introduces a general class of memristive neural networks with time delays. Passivity analysis is conducted by constructing suitable Lyapunov functional. The analysis in the paper employs the results from the theories of nonsmooth analysis and linear matrix inequalities. A numerical example is provided to illustrate the effectiveness and less conservatism of the proposed results. Crown Copyright (C) 2013 Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码：11 / 18
页数：8
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