{"title":"Asymptotic stability analysis for neural networks with two additive time-varying delays components","authors":"Hao Chen, Jinxiang Yang","doi":"10.1109/ICCWAMTIP.2014.7073377","DOIUrl":null,"url":null,"abstract":"This paper investigates asymptotic stability for delayed neural networks with two additive time-varying delays components. New Lyapunov functional are constructed to derive some new conditions for this system. The proposed result is less conservative because delay decomposition technique and reciprocally convex method are considered.","PeriodicalId":211273,"journal":{"name":"2014 11th International Computer Conference on Wavelet Actiev Media Technology and Information Processing(ICCWAMTIP)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 11th International Computer Conference on Wavelet Actiev Media Technology and Information Processing(ICCWAMTIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCWAMTIP.2014.7073377","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
This paper investigates asymptotic stability for delayed neural networks with two additive time-varying delays components. New Lyapunov functional are constructed to derive some new conditions for this system. The proposed result is less conservative because delay decomposition technique and reciprocally convex method are considered.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
