Fixed/preassigned-time synchronization for impulsive complex networks with mismatched parameters

被引：15

作者：

Pang, Lu ^{[1
]}

Hu, Cheng ^{[1
]}

Yu, Juan ^{[1
]}

Wang, Leimin ^{[2
]}

Jiang, Haijun ^{[1
]}

机构：

[1] Xinjiang Univ, Coll Math & Syst Sci, Urumqi 830017, Peoples R China

[2] China Univ Geosci, Sch Automat, Wuhan 430074, Peoples R China

来源：

NEUROCOMPUTING | 2022年 / 511卷

基金：

中国国家自然科学基金;

关键词：

Fixed-time synchronization; Preassigned-time synchronization; Complex networks; Impulse; Mismatched parameters; BAM NEURAL-NETWORKS; FINITE-TIME; DYNAMICAL NETWORKS; EXPONENTIAL STABILITY; STABILIZATION; SYSTEMS; DELAYS;

D O I：

10.1016/j.neucom.2022.09.016

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper is concerned with the issue of fixed-time (FT) and preassigned-time (PT) synchronization of impulsive complex networks (ICNs) with mismatched parameters. Firstly, several more succinct condi-tions are established to achieve FT stability of impulsive systems and an improved estimation for the stable time is given. Subsequently, based on the improved FT stability results, the FT synchronization cri-teria for ICNs with mismatched parameters are proposed by designing fixed-time controllers without the linear part. Correspondingly, the PT synchronization problem is also considered by developing several innovative control protocols, where the synchronized time can be arbitrary predefined according to task demands and the control gains are bounded. Ultimately, the presented synchronization criteria are ver-ified by numerical simulation.(c) 2022 Elsevier B.V. All rights reserved.

引用

页码：462 / 476

页数：15

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