Passivity and synchronization of switched coupled reaction-diffusion neural networks with non-delayed and delayed couplings

被引：13
作者：
Huang, Yan-Li [1 ]
Ren, Shun-Yan [2 ]
Wu, Jigang [3 ]
Xu, Bei-Bei [1 ]
机构：
[1] Tianjin Polytech Univ, Tianjin Key Lab Optoelect Detect Technol & Syst, Sch Comp Sci & Software Engn, Tianjin 300387, Peoples R China
[2] Tianjin Polytech Univ, Sch Mech Engn, Tianjin, Peoples R China
[3] Guangdong Univ Technol, Sch Comp, Guangzhou, Guangdong, Peoples R China
来源：
INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS | 2019年 / 96卷 / 09期
基金：
中国国家自然科学基金;
关键词：
Coupled reaction-diffusion neural networks; synchronization; switching topology; input strict passivity; output strict passivity; COMPLEX DYNAMICAL NETWORKS; STABILITY; SYSTEMS; TOPOLOGY; TERMS; ARRAY;
D O I：
10.1080/00207160.2018.1463437
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
This paper presents a general array model of switched coupled reaction-diffusion neural networks (CRDNNs) with non-delayed and delayed couplings. By utilizing some inequality techniques, we derive several sufficient conditions ensuring the input strict passivity and output strict passivity of the proposed network model. In addition, by constructing an appropriate Lyapunov functional, a sufficient condition is established in the form of linear matrix inequations to guarantee synchronization of CRDNNs with switched topology. Numerical examples with simulation results are provided to demonstrate the effectiveness and correctness of the obtained results.
引用
收藏
页码：1702 / 1722
页数：21
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