文献类型：期刊文献

中文题名：Global Asymptotic Synchronization of a Class of BAM Neural Networks with Time Delays via Integrating Inequality Techniques

英文题名：Global Asymptotic Synchronization of a Class of BAM Neural Networks with Time Delays via Integrating Inequality Techniques

作者：Lin, Feng[1];Zhang, Zhengqiu[2]

第一作者：林峰

通讯作者：Lin, F[1]

机构：[1]Beijing Union Univ, Tourism Coll, Beijing 100101, Peoples R China;[2]Hunan Univ, Coll Math & Econometr, Changsha 410082, Hunan, Peoples R China

第一机构：北京联合大学旅游学院

通讯机构：[1]corresponding author), Beijing Union Univ, Tourism Coll, Beijing 100101, Peoples R China.|[1141732]北京联合大学旅游学院;[11417]北京联合大学;

年份：2020

卷号：33

期号：2

起止页码：366-382

中文期刊名：系统科学与复杂性学报：英文版

外文期刊名：JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY

收录：;EI(收录号：20200107978825);Scopus(收录号：2-s2.0-85077294496);WOS:【SCI-EXPANDED(收录号:WOS:000505424000004)】；CSCD:【CSCD2019_2020】；PubMed;

语种：英文

中文关键词：A class of BAM neural networks with time delays;global asymptotic synchronization;integrating inequality techniques

外文关键词：A class of BAM neural networks with time delays; global asymptotic synchronization; integrating inequality techniques

摘要：In this paper,the authors are concerned with global asymptotic synchronization for a class of BAM neural networks with time delays.Instead of using Lyapunov functional method,LMI method and matrix measure method which are recently widely applied to investigating global exponential/asymptotic synchronization for neural networks,two novel sufficient conditions on global asymptotic synchronization of above BAM neural networks are established by using a kind of new study method of global synchronization:Integrating inequality techniques.The method and results extend the study of global synchronization of neural networks.
In this paper, the authors are concerned with global asymptotic synchronization for a class of BAM neural networks with time delays. Instead of using Lyapunov functional method, LMI method and matrix measure method which are recently widely applied to investigating global exponential/asymptotic synchronization for neural networks, two novel sufficient conditions on global asymptotic synchronization of above BAM neural networks are established by using a kind of new study method of global synchronization: Integrating inequality techniques. The method and results extend the study of global synchronization of neural networks.