Fixed-time synchronization of fuzzy neutral-type BAM memristive inertial neural networks with proportional delays

被引：67

作者：

Duan, Liyan ^{[1
]}

Li, Junmin ^{[1
]}

机构：

[1] Xidian Univ, Sch Math & Stat, Xian 710071, Peoples R China

来源：

INFORMATION SCIENCES | 2021年 / 576卷

基金：

中国国家自然科学基金;

关键词：

BAM memristive inertial neural networks; Fixed-time synchronization; Fuzzy; Neutral type; Proportional delay; EXPONENTIAL SYNCHRONIZATION; GLOBAL DISSIPATIVITY; VARYING DELAYS; STABILITY; PERIODICITY;

D O I：

10.1016/j.ins.2021.06.093

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, fixed-time synchronization (Fix-TS) of fuzzy neutral-type bidirectional associative memory memristive-inertial neural networks (FNT-BAM-MINNs) with proportional delays is investigated by non-reduced order method. First, a new lemma is proposed to solve the parameter mismatch of FNT-BAM-MINNs on the basis of differential inclusion theories and analysis methods. Second, the delay-dependent switched controller and the delay-dependent fuzzy switched controller are designed to reach the Fix-TS of the drive response FNT-BAM-MINNs, respectively. Based on fixed-time stability theory, inequality techniques and the new lemma, some delay-independent sufficient conditions are given to guarantee the Fix-TS of FNT-BAM-MINNs, which are easy to implement in practice. Furthermore, the settling time independent of the initial value is estimated. Finally, numerical examples indicate that our results are effective. (c) 2021 Elsevier Inc. All rights reserved.

引用

页码：522 / 541

页数：20

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