Stability and Exponential Synchronization of High-Order Hopfield Neural Networks with Mixed Delays

被引：8

作者：

Brahmi, Hajer ^{[1
]}

Ammar, Boudour ^{[1
]}

Cherif, Farouk ^{[2
]}

Alimi, Adel M. ^{[1
]}

机构：

[1] Univ Sfax, Natl Engn Sch Sfax ENIS, Dept Elect & Comp Engn, Res Grp Intelligent Machines, Sfax, Tunisia

[2] Univ Sousse, Ecole Super Sci & Technol, Lab Math Phys Specials Funct & Applicat, ISSATS, Sousse, Tunisia

来源：

CYBERNETICS AND SYSTEMS | 2017年 / 48卷 / 01期

关键词：

Asymptotic stability; exponential synchronization; high-order neural network; PERIODIC-SOLUTIONS; EXISTENCE;

D O I：

10.1080/01969722.2016.1262709

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper investigates the problems of stability and synchronization for high-order recurrent neural networks with mixed delays. Firstly, we establish sufficient conditions to ensure the asymptotic stability and then the exponential synchronization. Furthermore, our results are applied to two chosen systems to demonstrate the effectiveness of the obtained theoretical results.

引用

页码：49 / 69

页数：21

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