Synchronization of delayed coupled switched neural networks: Mode-dependent average impulsive interval

被引：41

作者：

Xie, Xiang ^{[1
]}

Liu, Xinzhi ^{[2
]}

Xu, Honglei ^{[3
]}

机构：

[1] Huazhong Univ Sci & Technol, Sch Energy & Power Engn, Wuhan 430074, Hubei, Peoples R China

[2] Univ Waterloo, Dept Appl Math, Waterloo, ON N2L 3G1, Canada

[3] Curtin Univ, Sch Elect Engn Comp & Math Sci, Perth, WA 6845, Australia

来源：

NEUROCOMPUTING | 2019年 / 365卷

基金：

澳大利亚研究理事会; 加拿大自然科学与工程研究理事会;

关键词：

Average dwell time; Average impulsive interval; Impulsive switched system; Neural network; Time delay; TIME-VARYING DELAY; COMPLEX NETWORKS; EXPONENTIAL SYNCHRONIZATION; STABILITY-CRITERIA; LINEAR-SYSTEMS; STABILIZATION;

D O I：

10.1016/j.neucom.2019.07.045

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 investigates the synchronization of coupled switched neural networks with leakage delay and time-varying delay. The desynchronizing impulses and synchronizing impulses are taken into account in the constructed systems, and they are not required to act simultaneously with the switching behaviors. Moreover, a new concept named mode-dependent average impulsive interval is introduced. Based on Lyapunov functional method involving mode-dependent average dwell time method, the relation of time-delay, impulsive gains, system modes, mode-dependent average impulsive interval and mode-dependent average dwell time is established. Exponential synchronization criteria are presented for delayed switched neural networks with desynchronizing impulses and synchronizing impulses, respectively. Numerical examples are given to illustrate the effectiveness and less conservativeness of the obtained results. (C) 2019 Elsevier B.V. All rights reserved.

引用

页码：261 / 272

页数：12

共 58 条

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