{"title":"Hindmarsh-Rose神经元延迟耦合网络的控制同步","authors":"D. M. Semenov, S. Plotnikov, Alexander L. Fradkov","doi":"10.1109/DCNA56428.2022.9923218","DOIUrl":null,"url":null,"abstract":"The paper studies controlled synchronization in regular delay-coupled Hindmarsh-Rose network with a constant delay. It is the fact that signal propagation delays between nodes can hinder their synchronization. This investigation introduces a controller that can ensure the asymptotic synchronization between neurons in the network under study. The provided analysis is based on the Lyapunov-Krasovskii method.","PeriodicalId":110836,"journal":{"name":"2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Controlled synchronization in regular delay-coupled networks of Hindmarsh-Rose neurons\",\"authors\":\"D. M. Semenov, S. Plotnikov, Alexander L. Fradkov\",\"doi\":\"10.1109/DCNA56428.2022.9923218\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper studies controlled synchronization in regular delay-coupled Hindmarsh-Rose network with a constant delay. It is the fact that signal propagation delays between nodes can hinder their synchronization. This investigation introduces a controller that can ensure the asymptotic synchronization between neurons in the network under study. The provided analysis is based on the Lyapunov-Krasovskii method.\",\"PeriodicalId\":110836,\"journal\":{\"name\":\"2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA)\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DCNA56428.2022.9923218\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DCNA56428.2022.9923218","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Controlled synchronization in regular delay-coupled networks of Hindmarsh-Rose neurons
The paper studies controlled synchronization in regular delay-coupled Hindmarsh-Rose network with a constant delay. It is the fact that signal propagation delays between nodes can hinder their synchronization. This investigation introduces a controller that can ensure the asymptotic synchronization between neurons in the network under study. The provided analysis is based on the Lyapunov-Krasovskii method.
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