Global synchronization of delayed chaotic neural networks

Guoliang Cai, H. Shao, Qin Yao
{"title":"Global synchronization of delayed chaotic neural networks","authors":"Guoliang Cai, H. Shao, Qin Yao","doi":"10.1109/ICNC.2011.6022117","DOIUrl":null,"url":null,"abstract":"In this paper, an adaptive procedure to the problem of global synchronization of nonlinearly coupled chaotic neural networks with time-varying delay is introduced by combining the adaptive control and pinning control methods, especially, the parameters of this paper are very few, which is different from other papers and easily applied to practical. Sufficient conditions for global synchronization are obtained by applying suitable feedback or adaptive feedback controllers to certain selected nodes.","PeriodicalId":87274,"journal":{"name":"International Conference on Computing, Networking, and Communications : [proceedings]. International Conference on Computing, Networking and Communications","volume":"186 2 1","pages":"358-361"},"PeriodicalIF":0.0000,"publicationDate":"2011-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Computing, Networking, and Communications : [proceedings]. International Conference on Computing, Networking and Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNC.2011.6022117","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

In this paper, an adaptive procedure to the problem of global synchronization of nonlinearly coupled chaotic neural networks with time-varying delay is introduced by combining the adaptive control and pinning control methods, especially, the parameters of this paper are very few, which is different from other papers and easily applied to practical. Sufficient conditions for global synchronization are obtained by applying suitable feedback or adaptive feedback controllers to certain selected nodes.
延迟混沌神经网络的全局同步
本文将自适应控制方法与固定控制方法相结合,提出了一种针对时变时滞非线性耦合混沌神经网络全局同步问题的自适应方法,特别是本文的参数很少,与其他文献不同,易于应用于实际。通过对选定的节点应用合适的反馈或自适应反馈控制器,得到全局同步的充分条件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信