New Methods of Finite-Time Synchronization for a Class of Fractional-Order Delayed Neural Networks

被引：11

作者：

Zhang, Weiwei ^{[1
]}

Cao, Jinde ^{[2
,3
]}

Alsaedi, Ahmed ^{[4
]}

Alsaadi, Fuad E. ^{[5
]}

机构：

[1] Anqing Normal Univ, Sch Math & Computat Sci, Anqing 246011, Peoples R China

[2] Southeast Univ, Sch Math, Nanjing 210096, Jiangsu, Peoples R China

[3] Shandong Normal Univ, Sch Math & Stat, Jinan 250014, Peoples R China

[4] King Abdulaziz Univ, Dept Math, Jeddah 21589, Saudi Arabia

[5] King Abdulaziz Univ, Dept Elect & Comp Engn, Jeddah 21589, Saudi Arabia

来源：

MATHEMATICAL PROBLEMS IN ENGINEERING | 2017年 / 2017卷

基金：

中国国家自然科学基金;

关键词：

DYNAMIC-ANALYSES; STABILITY; SYSTEM; EQUATIONS; MODEL;

D O I：

10.1155/2017/1804383

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Finite-time synchronization for a class of fractional-order delayed neural networks with fractional order alpha, 0 < alpha <= 1/2 and 1/2 < alpha < 1, is investigated in this paper. Through the use of Holder inequality, generalized Bernoulli inequality, and inequality skills, two sufficient conditions are considered to ensure synchronization of fractional-order delayed neural networks in a finite-time interval. Numerical example is given to verify the feasibility of the theoretical results.

引用

页数：9

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