Adaptive synchronization of fractional-order memristor-based neural networks with time delay

被引：258
|
作者：
Bao, Haibo [1 ,2 ]
Park, Ju H. [2 ]
Cao, Jinde [3 ]
机构：
[1] Southwest Univ, Sch Math & Stat, Chongqing 400715, Peoples R China
[2] Yeungnam Univ, Dept Elect Engn, Nonlinear Dynam Grp, Kyongsan 38541, South Korea
[3] Southeast Univ, Dept Math, Nanjing 210096, Jiangsu, Peoples R China
来源：
NONLINEAR DYNAMICS | 2015年 / 82卷 / 03期
基金：
新加坡国家研究基金会; 中国国家自然科学基金;
关键词：
Synchronization; Fractional-order; Memristor-based neural networks; Adaptive control; EXPONENTIAL SYNCHRONIZATION; PROJECTIVE SYNCHRONIZATION; GLOBAL SYNCHRONIZATION; STABILITY;
D O I：
10.1007/s11071-015-2242-7
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
This paper is concerned with the adaptive synchronization problem of fractional-order memristor-based neural networks with time delay. By combining the adaptive control, linear delay feedback control, and a fractional-order inequality, sufficient conditions are derived which ensure the drive-response systems to achieve synchronization. Finally, two numerical examples are given to demonstrate the effectiveness of the obtained results.
引用
收藏
页码：1343 / 1354
页数：12
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