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dc.contributor.authorMa, Minglin
dc.contributor.authorYang, Yang
dc.contributor.authorQiu, Zhicheng
dc.contributor.authorPeng, Yuexi
dc.contributor.authorSun, Yichuang
dc.contributor.authorLi, Zhijun
dc.contributor.authorWang, Mengjiao
dc.date.accessioned2022-02-14T15:00:01Z
dc.date.available2022-02-14T15:00:01Z
dc.date.issued2022-01-23
dc.identifier.citationMa , M , Yang , Y , Qiu , Z , Peng , Y , Sun , Y , Li , Z & Wang , M 2022 , ' A locally active discrete memristor model and its application in a hyperchaotic map ' , Nonlinear Dynamics . https://doi.org/10.1007/s11071-021-07132-5
dc.identifier.issn0924-090X
dc.identifier.otherPURE: 26435108
dc.identifier.otherPURE UUID: d5765968-f803-49b7-a67e-d3a4b306594c
dc.identifier.otherScopus: 85123493048
dc.identifier.urihttp://hdl.handle.net/2299/25372
dc.description© 2022 Springer Nature Switzerland AG. Part of Springer Nature. This is the accepted manuscript version of an article which has been published in final form at https://doi.org/10.1007/s11071-021-07132-5
dc.description.abstractThe continuous memristor is a popular topic of research in recent years, however, there is rare discussion about the discrete memristor model, especially the locally active discrete memristor model. This paper proposes a locally active discrete memristor model for the first time and proves the three fingerprints characteristics of this model according to the definition of generalized memristor. A novel hyperchaotic map is constructed by coupling the discrete memristor with a two-dimensional generalized square map. The dynamical behaviors are analyzed with attractor phase diagram, bifurcation diagram, Lyapunov exponent spectrum, and dynamic behavior distribution diagram. Numerical simulation analysis shows that there is significant improvement in the hyperchaotic area, the quasi-periodic area and the chaotic complexity of the two-dimensional map when applying the locally active discrete memristor. In addition, antimonotonicity and transient chaos behaviors of system are reported. In particular, the coexisting attractors can be observed in this discrete memristive system, resulting from the different initial values of the memristor. Results of theoretical analysis are well verified with hardware experimental measurements. This paper lays a great foundation for future analysis and engineering application of the discrete memristor and relevant the study of other hyperchaotic maps.en
dc.format.extent19
dc.language.isoeng
dc.relation.ispartofNonlinear Dynamics
dc.rightsEmbargoed
dc.subjectChaotic map
dc.subjectCoexisting attractors
dc.subjectDiscrete memristor
dc.subjectHyperchaos
dc.subjectLocally active
dc.subjectControl and Systems Engineering
dc.subjectAerospace Engineering
dc.subjectOcean Engineering
dc.subjectMechanical Engineering
dc.subjectElectrical and Electronic Engineering
dc.subjectApplied Mathematics
dc.titleA locally active discrete memristor model and its application in a hyperchaotic mapen
dc.contributor.institutionCentre for Engineering Research
dc.contributor.institutionCommunications and Intelligent Systems
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
dc.contributor.institutionDepartment of Engineering and Technology
dc.description.statusPeer reviewed
dc.date.embargoedUntil2022-01-23
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85123493048&partnerID=8YFLogxK
dc.relation.schoolSchool of Physics, Engineering & Computer Science
dc.description.versiontypeFinal Accepted Version
dcterms.dateAccepted2022-01-23
rioxxterms.versionAM
rioxxterms.versionofrecordhttps://doi.org/10.1007/s11071-021-07132-5
rioxxterms.licenseref.uriUnspecified
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue
herts.rights.accesstypeEmbargoed


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