Recurrent chaotic clustering and slow chaos in adaptive networks

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorState University of Ponta Grossa-
Autor(es): dc.contributorMember of the Leibniz Association-
Autor(es): dc.contributorUniversity College Cork-
Autor(es): dc.contributorHumboldt University Berlin-
Autor(es): dc.creatorRolim Sales, Matheus-
Autor(es): dc.creatorYanchuk, Serhiy-
Autor(es): dc.creatorKurths, Jürgen-
Data de aceite: dc.date.accessioned2025-08-21T21:20:51Z-
Data de disponibilização: dc.date.available2025-08-21T21:20:51Z-
Data de envio: dc.date.issued2025-04-29-
Data de envio: dc.date.issued2024-06-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1063/5.0205458-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/305913-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/305913-
Descrição: dc.descriptionAdaptive dynamical networks are network systems in which the structure co-evolves and interacts with the dynamical state of the nodes. We study an adaptive dynamical network in which the structure changes on a slower time scale relative to the fast dynamics of the nodes. We identify a phenomenon we refer to as recurrent adaptive chaotic clustering (RACC), in which chaos is observed on a slow time scale, while the fast time scale exhibits regular dynamics. Such slow chaos is further characterized by long (relative to the fast time scale) regimes of frequency clusters or frequency-synchronized dynamics, interrupted by fast jumps between these regimes. We also determine parameter values where the time intervals between jumps are chaotic and show that such a state is robust to changes in parameters and initial conditions.-
Descrição: dc.descriptionDeutsche Forschungsgemeinschaft-
Descrição: dc.descriptionDepartment of Physics São Paulo State University, SP-
Descrição: dc.descriptionGraduate Program in Sciences State University of Ponta Grossa, PR-
Descrição: dc.descriptionPotsdam Institute for Climate Impact Research Member of the Leibniz Association, P.O. Box 6012 03-
Descrição: dc.descriptionSchool of Mathematical Sciences University College Cork, Western Road-
Descrição: dc.descriptionInstitute of Physics Humboldt University Berlin-
Descrição: dc.descriptionDepartment of Physics São Paulo State University, SP-
Idioma: dc.languageen-
Relação: dc.relationChaos-
???dc.source???: dc.sourceScopus-
Título: dc.titleRecurrent chaotic clustering and slow chaos in adaptive networks-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

Não existem arquivos associados a este item.