Fixed-time synchronization of coupled memristor-based neural networks with time-varying delays

被引：58
作者：
Yang, Chao [1 ]
Huang, Lihong [2 ]
Cai, Zuowei [3 ]
机构：
[1] Changsha Univ, Dept Math & Comp Sci, Changsha 410022, Hunan, Peoples R China
[2] Changsha Univ Sci & Technol, Sch Math & Stat, Changsha 410114, Hunan, Peoples R China
[3] Hunan Womens Univ, Dept Informat Technol, Changsha 410002, Hunan, Peoples R China
来源：
NEURAL NETWORKS | 2019年 / 116卷
基金：
中国国家自然科学基金;
关键词：
fixed-time synchronization; Differential inclusion; Memristor-based neural networks; Coupled; EXPONENTIAL SYNCHRONIZATION; ADAPTIVE-CONTROL; STABILITY; STABILIZATION; OSCILLATORS; FEEDBACK; DESIGN;
D O I：
10.1016/j.neunet.2019.04.008
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 investigates the fixed-time synchronization of Memristor-based neural networks with time-delayed and coupled. In view of the retarded differential inclusions theory, drive-response concept, the authors give some sufficient conditions to ensure the fixed-time synchronization issue of Memristor-based neural networks. Two novel state-feedback controllers and adaptive controller are designed such that the system can realize fixed-time complete synchronization by means of inequality technique and non-smooth analysis theory. It is worth to point out that, without desiring values of the initial conditions or under the linear growth condition of the controller, the settling time of fixed-time synchronization is estimated. Finally, an example is given to further illustrate the benefits of the proposed switched control approach. (C) 2019 Elsevier Ltd. All rights reserved.
引用
收藏
页码：101 / 109
页数：9
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