General decay lag anti-synchronization of multi-weighted delayed coupled neural networks with reaction-diffusion terms

被引：30

作者：

Huang, Yanli ^{[1
]}

Hou, Jie ^{[1
]}

Yang, Erfu ^{[2
]}

机构：

[1] Tianjin Polytech Univ, Sch Comp Sci & Technol, Tianjin Key Lab Optoelect Detect Technol & Syst, Tianjin 300387, Peoples R China

[2] Univ Strathclyde, Fac Engn, Dept Design Mfg & Engn Management, Glasgow G1 1XJ, Lanark, Scotland

来源：

INFORMATION SCIENCES | 2020年 / 511卷

基金：

中国国家自然科学基金; “创新英国”项目;

关键词：

General decay lag anti-synchronization; Bounded distributed delays; Multi-weights; Coupled reaction-diffusion neural networks; H-INFINITY SYNCHRONIZATION; TIME-VARYING DELAYS; STABILITY; SYSTEMS;

D O I：

10.1016/j.ins.2019.09.045

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We propose a new anti-synchronization concept, called general decay lag anti-synchronization, by combining the definitions of decay synchronization and lag synchronization. Novel criteria for the decay lag anti-synchronization of multi-weighted delayed coupled reaction-diffusion neural networks (MWDCRDNNs) with and without bounded distributed delays are derived by constructing an appropriate nonlinear controller and using the Lyapunov functional method. Moreover, the robust decay lag anti-synchronization of MWDCRDNNs with and without bounded distributed delays is considered. Finally, two numerical simulations are performed to validate the obtained results. (C) 2019 Elsevier Inc. All rights reserved.

引用

页码：36 / 57

页数：22

共 33 条

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