Pinning synchronization of coupled fractional-order time-varying delayed neural networks with arbitrary fixed topology

被引：33
作者：
Liu, Peng [1 ,2 ]
Kong, Minxue [1 ,2 ]
Xu, Minglin [1 ,2 ]
Sun, Junwei [1 ,2 ]
Liu, Na [1 ,2 ]
机构：
[1] Zhengzhou Univ Light Ind, Coll Elect & Informat Engn, Zhengzhou 450002, Peoples R China
[2] Zhengzhou Univ Light Ind, Henan Key Lab Informat Based Elect Appliances, Zhengzhou 450002, Peoples R China
来源：
NEUROCOMPUTING | 2020年 / 400卷
关键词：
Fractional-order neural networks; Time-varying delays; Pinning control; Synchronization; GLOBAL SYNCHRONIZATION; ROBUST SYNCHRONIZATION; MEMRISTOR; STABILITY; CALCULUS;
D O I：
10.1016/j.neucom.2020.03.029
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 is concerned with pinning synchronization of coupled fractional-order time-varying delayed neural networks. For an arbitrary fixed topology, an effective control law is introduced to select the pinned nodes, under which several sufficient conditions are derived to ensure the asymptotic synchronization of coupled fractional-order delayed neural networks. Moreover, sufficient conditions are derived for the synchronization in Mittag-Leffler sense if there is no delay in coupled fractional-order neural networks. A numerical example is proposed to substantiate the effectiveness of the theoretical results. (C) 2020 Elsevier B.V. All rights reserved.
引用
收藏
页码：46 / 52
页数：7
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