{"title":"Parameters Identification and Synchronization of Complex Dynamical Networks with Time-varying Delays via Linear Control","authors":"Jintao Gong, Guang Chen, Hong-xiang Hu, Wenwu Yu","doi":"10.1109/ICICIP47338.2019.9012208","DOIUrl":null,"url":null,"abstract":"The parameters identification and synchronization of complex dynamical networks (CDNs) with time-varying delays is respectively investigated in this paper. Firstly, by putting to use Lyapunov functional approach, LaSallei's invariance principleand some inequality techniques, we establish a synchronization criterion for the complex dynamical network with time-varying delays by linear control. In addition, we also designed the parameters identification. Finally, two numerical simulation examples are given to verify the correctness and the effectiveness of the acquired criterion.","PeriodicalId":431872,"journal":{"name":"2019 Tenth International Conference on Intelligent Control and Information Processing (ICICIP)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Tenth International Conference on Intelligent Control and Information Processing (ICICIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICIP47338.2019.9012208","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
The parameters identification and synchronization of complex dynamical networks (CDNs) with time-varying delays is respectively investigated in this paper. Firstly, by putting to use Lyapunov functional approach, LaSallei's invariance principleand some inequality techniques, we establish a synchronization criterion for the complex dynamical network with time-varying delays by linear control. In addition, we also designed the parameters identification. Finally, two numerical simulation examples are given to verify the correctness and the effectiveness of the acquired criterion.
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