Finite-time synchronization of T-S fuzzy memristive neural networks with time delay

被引：28

作者：

Gong, Shuqing ^{[1
]}

Guo, Zhenyuan ^{[2
]}

Wen, Shiping ^{[3
]}

机构：

[1] Changsha Univ Sci & Technol, Sch Math & Stat, Changsha 410114, Hunan, Peoples R China

[2] Hunan Univ, Sch Math, Changsha 410082, Hunan, Peoples R China

[3] Univ Technol Sydney, Fac Engn & Informat Technol, Ctr Artificial Intelligence, Ultimo, NSW 2007, Australia

来源：

FUZZY SETS AND SYSTEMS | 2023年 / 459卷

基金：

中国国家自然科学基金;

关键词：

Finite -time synchronization; Fuzzy system; Memristive neural network; Time delay; Fuzzy control; Pseudorandom number generator; STABILITY; IDENTIFICATION; SYSTEMS;

D O I：

10.1016/j.fss.2022.10.013

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper focuses on the study of synchronization problem for T-S fuzzy memristive neural networks with time delay. First, a delay-independent nonlinear fuzzy control is designed. Second, under the designed fuzzy control, two kinds of finite-time synchro-nization criteria are obtained by comparison method and Lyapunov function method, respectively. Furthermore, the settling time is estimated. Finally, a numerical simulation example is provided to demonstrate the effectiveness and feasibility of the theoretical results, and an application of the obtained theories is also given in the pseudorandom number generator (PRNG).(c) 2022 Elsevier B.V. All rights reserved.

引用

页码：67 / 81

页数：15

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