Synchronization control for a class of delayed fuzzy inertial neural networks

Jing Han, Guici Chen, Guodong Zhang, Junhao Hu
{"title":"Synchronization control for a class of delayed fuzzy inertial neural networks","authors":"Jing Han, Guici Chen, Guodong Zhang, Junhao Hu","doi":"10.1109/ICCSS53909.2021.9721984","DOIUrl":null,"url":null,"abstract":"In this paper, a class of delayed inertial neural networks(INNs) with fuzzy templates is considered. By using a novel Lyapunov functional and an effective control law, several synchronization results of the investigated delayed fuzzy inertial neural networks(FINNs) are given. We construct the exponential synchronization results of the delayed FINNs via the nonreduced-order method for the first time. At last, numerical simulations show the correctness of the obtained results.","PeriodicalId":435816,"journal":{"name":"2021 8th International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 8th International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSS53909.2021.9721984","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In this paper, a class of delayed inertial neural networks(INNs) with fuzzy templates is considered. By using a novel Lyapunov functional and an effective control law, several synchronization results of the investigated delayed fuzzy inertial neural networks(FINNs) are given. We construct the exponential synchronization results of the delayed FINNs via the nonreduced-order method for the first time. At last, numerical simulations show the correctness of the obtained results.
一类时滞模糊惯性神经网络的同步控制
研究了一类具有模糊模板的时滞惯性神经网络。利用一种新的Lyapunov泛函和一种有效的控制律,给出了所研究的延迟模糊惯性神经网络(FINNs)的几个同步结果。本文首次利用非降阶方法构造了延迟finn的指数同步结果。最后通过数值仿真验证了所得结果的正确性。
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