{"title":"Chaotic Synchronization of Coupled Hindmarsh-Rose Neurons Using Adaptive Control","authors":"Yu Shi, Jiang Wang, Bin Deng, Qiuxiang Liu","doi":"10.1109/BMEI.2009.5302804","DOIUrl":null,"url":null,"abstract":"In this paper, we propose an approach for adaptive synchronization of two uncertain nonlinear chaotic neuron systems by using the coupled system of Hindmarsh-Rose [18]. An outline of this paper is given as follows: In Sec. 2, we study the dynamics of gap junction coupled neuronal system of two HR neurons without control. In Sec.3, we design the adaptive controller for chaos synchronization of the coupled HR neurons. Asymptotic synchronization can be obtained by proper choice of the control parameters. The simulation given in Sec. 4 demonstrated the effectiveness of the control. Conclusion of this paper is given in Sec. 5.","PeriodicalId":6389,"journal":{"name":"2009 2nd International Conference on Biomedical Engineering and Informatics","volume":"139 1","pages":"1-5"},"PeriodicalIF":0.0000,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 2nd International Conference on Biomedical Engineering and Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BMEI.2009.5302804","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
In this paper, we propose an approach for adaptive synchronization of two uncertain nonlinear chaotic neuron systems by using the coupled system of Hindmarsh-Rose [18]. An outline of this paper is given as follows: In Sec. 2, we study the dynamics of gap junction coupled neuronal system of two HR neurons without control. In Sec.3, we design the adaptive controller for chaos synchronization of the coupled HR neurons. Asymptotic synchronization can be obtained by proper choice of the control parameters. The simulation given in Sec. 4 demonstrated the effectiveness of the control. Conclusion of this paper is given in Sec. 5.