D. Prousalis, C. Volos, I. Stouboulos, I. Kyprianidis, D. Frantzeskakis
{"title":"An extended study of extreme multistability in a memristive circuit","authors":"D. Prousalis, C. Volos, I. Stouboulos, I. Kyprianidis, D. Frantzeskakis","doi":"10.1109/PACET.2017.8259992","DOIUrl":null,"url":null,"abstract":"In this paper, the complete study of the phenomenon of extreme multistability in an active BPF-based memristive circuit is presented. To some extent, this work revealed that the extreme multistability phenomenon of coexisting infinitely many attractors' behavior depends not only on memristor initial condition-dependent dynamics, as it has been reported in literature, but also on the rest of circuit's initial condition-dependent dynamics. The circuit's behavior is studied by using well-known tools of nonlinear theory, such as a bifurcation-like diagram, Lyapunov exponents and phase portraits.","PeriodicalId":171095,"journal":{"name":"2017 Panhellenic Conference on Electronics and Telecommunications (PACET)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Panhellenic Conference on Electronics and Telecommunications (PACET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PACET.2017.8259992","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this paper, the complete study of the phenomenon of extreme multistability in an active BPF-based memristive circuit is presented. To some extent, this work revealed that the extreme multistability phenomenon of coexisting infinitely many attractors' behavior depends not only on memristor initial condition-dependent dynamics, as it has been reported in literature, but also on the rest of circuit's initial condition-dependent dynamics. The circuit's behavior is studied by using well-known tools of nonlinear theory, such as a bifurcation-like diagram, Lyapunov exponents and phase portraits.