{"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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
BER and HPA Nonlinearities Compensation for Joint Polar Coded SCMA System over Rayleigh Fading Channels Harmonizing Wearable Biosensor Data Streams to Test Polysubstance Detection. eFCM: An Enhanced Fuzzy C-Means Algorithm for Longitudinal Intervention Data. Automatic Detection of Opioid Intake Using Wearable Biosensor. A New Mining Method to Detect Real Time Substance Use Events from Wearable Biosensor Data Stream.
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1