{"title":"Robust fixed-time synchronization of uncertain fractional-order quaternion-valued neural networks","authors":"Zhongwen Wu","doi":"10.23919/SICEISCS54350.2022.9754525","DOIUrl":null,"url":null,"abstract":"In this article, the robust fixed-time synchronization of uncertain fractional-order quaternion-valued neural networks(FQVNNs) is studied. By using direct analytical method and quaternion-valued inequality, a criterion for robust fixed-time synchronization is established, and the settling time for robust fixed-time synchronization is explicitly reckoned. Finally, the validity of the conclusions is illustrated via one numerical example.","PeriodicalId":391189,"journal":{"name":"2022 SICE International Symposium on Control Systems (SICE ISCS)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 SICE International Symposium on Control Systems (SICE ISCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/SICEISCS54350.2022.9754525","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 article, the robust fixed-time synchronization of uncertain fractional-order quaternion-valued neural networks(FQVNNs) is studied. By using direct analytical method and quaternion-valued inequality, a criterion for robust fixed-time synchronization is established, and the settling time for robust fixed-time synchronization is explicitly reckoned. Finally, the validity of the conclusions is illustrated via one numerical example.