Finite-time synchronization of delayed fuzzy cellular neural networks with discontinuous activations

被引：105
作者：
Duan, Lian [1 ,2 ]
Wei, Hui [1 ]
Huang, Lihong [3 ]
机构：
[1] Anhui Univ Sci & Technol, Sch Math & Big Data, Huainan 232001, Anhui, Peoples R China
[2] Cent S Univ, Sch Math & Stat, Changsha 410083, Hunan, Peoples R China
[3] Changsha Univ Sci & Technol, Sch Math & Stat, Changsha 410114, Hunan, Peoples R China
来源：
FUZZY SETS AND SYSTEMS | 2019年 / 361卷 / 56-70期
基金：
中国国家自然科学基金;
关键词：
Fuzzy cellular neural network; Discontinuous activation; Finite-time synchronization; GLOBAL EXPONENTIAL STABILITY; CONVERGENCE;
D O I：
10.1016/j.fss.2018.04.017
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this paper, we study the finite-time synchronization issue for delayed fuzzy cellular neural networks with discontinuous activations. Under the framework of differential inclusions, by utilizing the discontinuous state feedback control method and constructing Lyapunov functionals, new and useful finite-time synchronization criteria for the considered networks are established, which significantly generalize and improve recent works in literature. Finally, two examples with simulations are presented to show the effectiveness of the synchronization schemes. (C) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码：56 / 70
页数：15
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