New results on finite-/fixed-time synchronization of delayed diffusive fuzzy HNNs with discontinuous activations

被引：41
作者：
Duan, Lian [1 ]
Shi, Min [1 ]
Huang, Lihong [2 ,3 ]
机构：
[1] Anhui Univ Sci & Technol, Sch Math & Big Data, Huainan 232001, Anhui, Peoples R China
[2] Changsha Univ Sci & Technol, Sch Math & Stat, Changsha 410114, Hunan, Peoples R China
[3] Hunan Prov Key Lab Math Modeling & Anal Engn, Changsha 410114, Hunan, Peoples R China
来源：
FUZZY SETS AND SYSTEMS | 2021年 / 416卷
基金：
中国国家自然科学基金; 中国博士后科学基金;
关键词：
Fuzzy Hopfield neural network; Finite-; fixed-time synchronization; Reaction-diffusion; Discontinuous activation; CELLULAR NEURAL-NETWORKS; GLOBAL EXPONENTIAL STABILITY; MIXED DELAYS; DYNAMICAL BEHAVIORS;
D O I：
10.1016/j.fss.2020.04.016
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this paper, the problem of finite-/fixed-time synchronization (FFTS) is studied for delayed diffusive Hopfield neural networks. By employing Filippov regularization approaches, inequality techniques and a generalized finite-/fixed-time stability theorem, a novel state feedback controller is designed to realize the FFTS of the considered network model. The obtained theoretical results generalize and improve existing ones in the literature. Finally, a numerical example is presented to show the effectiveness of the theoretical results. (c) 2020 Elsevier B.V. All rights reserved.
引用
收藏
页码：141 / 151
页数：11
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