New results on fixed/predefined-time synchronization of delayed fuzzy inertial discontinuous neural networks: Non-re duce d order approach *

被引：40

作者：

Zhang, Guodong ^{[1
]}

Cao, Jinde ^{[2
,3
]}

机构：

[1] South Cent Minzu Univ, Sch Math & Stat, Wuhan 430074, Peoples R China

[2] Southeast Univ, Sch Math, Nanjing 210096, Peoples R China

[3] Yonsei Univ, Yonsei Frontier Lab, Seoul 03722, South Korea

来源：

APPLIED MATHEMATICS AND COMPUTATION | 2023年 / 440卷

基金：

美国国家科学基金会;

关键词：

Fixed -time synchronization(FTS); Predefined -time synchronization(PTS); Fuzzy inertial neural networks(FINNs); Distributed delays; EXPONENTIAL STABILIZATION; GLOBAL STABILITY; VARYING DELAYS; SYSTEMS;

D O I：

10.1016/j.amc.2022.127671

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

This paper focuses on the fixed/predefined-time synchronization control of drive-response fuzzy inertial discontinuous neural networks(FIDNNs) with distributed delays. By using non-smooth analysis, fixed/predefined-time stability lemmas and designing two new fixed/predefined-time feedback controllers, several novel results are given to get fixed-time synchronization(FTS) and predefined-time synchronization(PTS) for the proposed FIDNNs. The fixed/predefined-time results of this paper are derived directly from FIDNNs themselves without variables substitution method. Up until now, very few results are reported on non-reduced order approach to achieve FTS and PTS of FIDNNs with distributed delays. Finally, some simulations and applications are, respectively, carried out to expound the efficacy of the obtained new FTS and PTS criteria. (c) 2022 Elsevier Inc. All rights reserved.

引用

页数：20

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