Stability analysis of fractional-order complex-valued neural networks with both leakage and discrete delays

被引:66
|
作者
Zhang, Lei [1 ]
Song, Qiankun [1 ]
Zhao, Zhenjiang [2 ]
机构
[1] Chongqing Jiaotong Univ, Dept Math, Chongqing 400074, Peoples R China
[2] Huzhou Univ, Dept Math, Huzhou 313000, Peoples R China
基金
中国国家自然科学基金;
关键词
Fractional-order complex-valued neural networks; Uniform stability; Leakage delay; Discrete delay; GLOBAL ASYMPTOTICAL PERIODICITY; EXPONENTIAL STABILITY; O(T(-ALPHA)) STABILITY; UNIFORM STABILITY; SYNCHRONIZATION; DYNAMICS;
D O I
10.1016/j.amc.2016.11.027
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, the problem of uniform stability for fractional-order complex-valued neural networks with both leakage and discrete delays is considered. Base on the contracting mapping principle, a sufficient condition is proposed for the existence and uniqueness of the equilibrium point of the addressed neural networks. By employing analysis technique, some delay-dependent criteria are established for checking the global uniform stability of the fractional-order complex-valued neural networks. Two numerical examples are presented to demonstrate the validity and feasibility of the proposed results. (C) 2016 Published by Elsevier Inc.
引用
收藏
页码:296 / 309
页数:14
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