Anti-synchronization Control of Memristive Neural Networks with Multiple Proportional Delays

被引：40

作者：

Wang, Weiping ^{[1
]}

Li, Lixiang ^{[2
]}

Peng, Haipeng ^{[2
]}

Kurths, Juergen ^{[3
]}

Xiao, Jinghua ^{[1
]}

Yang, Yixian ^{[2
,4
]}

机构：

[1] Beijing Univ Posts & Telecommun, Sch Sci, Beijing 100876, Peoples R China

[2] Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Informat Secur Ctr, Beijing 100876, Peoples R China

[3] Potsdam Inst Climate Impact Res, D-14473 Potsdam, Germany

[4] Beijing Univ Posts & Telecommun, Natl Engn Lab Disaster Backup & Recovery, Beijing 100876, Peoples R China

来源：

NEURAL PROCESSING LETTERS | 2016年 / 43卷 / 01期

基金：

北京市自然科学基金; 中国国家自然科学基金;

关键词：

Memristive neural networks; Proportional delay; Anti-synchronization; EXPONENTIAL SYNCHRONIZATION;

D O I：

10.1007/s11063-015-9417-6

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper investigates anti-synchronization control of memristive neural networks with multiple proportional delays. Here, we first study the proportional delay, which is a kind of unbounded time-varying delay in the memristive neural networks, by using the differential inclusion theory to handle the memristive neural networks with discontinuous right-hand side. In particular, several new criteria ensuring anti-synchronization of memristive neural networks with multiple proportional delays are presented. In addition, the new proposed criteria are easy to verify and less conservative than earlier publications about anti-synchronization control of memristive neural networks. Finally, two numerical examples are given to show the effectiveness of our results.

引用

页码：269 / 283

页数：15

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