Autonomous learning by simple dynamical systems with delayed feedback

Autores
Kaluza, Pablo Federico; Mikhailov, Alexander S.
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
A general scheme for the construction of dynamical systems able to learn generation of the desired kinds of dynamics through adjustment of their internal structure is proposed. The scheme involves intrinsic time-delayed feedback to steer the dynamics towards the target performance. As an example, a system of coupled phase oscillators, which can, by changing the weights of connections between its elements, evolve to a dynamical state with the prescribed (low or high) synchronization level, is considered and investigated.
Fil: Kaluza, Pablo Federico. Universidad Nacional de Cuyo. Facultad de Ciencias Exactas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentina
Fil: Mikhailov, Alexander S.. Max Planck. Fritz Haber Institut. Abteilung Physikalische Chemie; Alemania
Materia
Autonomous
Learning
Phase
Oscillators
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/32341
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/32341
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network_name_str CONICET Digital (CONICET)
spelling Autonomous learning by simple dynamical systems with delayed feedbackKaluza, Pablo FedericoMikhailov, Alexander S.AutonomousLearningPhaseOscillatorshttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1A general scheme for the construction of dynamical systems able to learn generation of the desired kinds of dynamics through adjustment of their internal structure is proposed. The scheme involves intrinsic time-delayed feedback to steer the dynamics towards the target performance. As an example, a system of coupled phase oscillators, which can, by changing the weights of connections between its elements, evolve to a dynamical state with the prescribed (low or high) synchronization level, is considered and investigated.Fil: Kaluza, Pablo Federico. Universidad Nacional de Cuyo. Facultad de Ciencias Exactas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; ArgentinaFil: Mikhailov, Alexander S.. Max Planck. Fritz Haber Institut. Abteilung Physikalische Chemie; AlemaniaAmerican Physical Society2014-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/32341Kaluza, Pablo Federico; Mikhailov, Alexander S.; Autonomous learning by simple dynamical systems with delayed feedback; American Physical Society; Physical Review E: Statistical, Nonlinear and Soft Matter Physics; 90; 3; 9-20141539-37552470-0053CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://journals.aps.org/pre/abstract/10.1103/PhysRevE.90.030901info:eu-repo/semantics/altIdentifier/doi/10.1103/PhysRevE.90.030901info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:38:27Zoai:ri.conicet.gov.ar:11336/32341instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 14:38:27.288CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Autonomous learning by simple dynamical systems with delayed feedback
title Autonomous learning by simple dynamical systems with delayed feedback
spellingShingle Autonomous learning by simple dynamical systems with delayed feedback
Kaluza, Pablo Federico
Autonomous
Learning
Phase
Oscillators
title_short Autonomous learning by simple dynamical systems with delayed feedback
title_full Autonomous learning by simple dynamical systems with delayed feedback
title_fullStr Autonomous learning by simple dynamical systems with delayed feedback
title_full_unstemmed Autonomous learning by simple dynamical systems with delayed feedback
title_sort Autonomous learning by simple dynamical systems with delayed feedback
dc.creator.none.fl_str_mv Kaluza, Pablo Federico
Mikhailov, Alexander S.
author Kaluza, Pablo Federico
author_facet Kaluza, Pablo Federico
Mikhailov, Alexander S.
author_role author
author2 Mikhailov, Alexander S.
author2_role author
dc.subject.none.fl_str_mv Autonomous
Learning
Phase
Oscillators
topic Autonomous
Learning
Phase
Oscillators
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv A general scheme for the construction of dynamical systems able to learn generation of the desired kinds of dynamics through adjustment of their internal structure is proposed. The scheme involves intrinsic time-delayed feedback to steer the dynamics towards the target performance. As an example, a system of coupled phase oscillators, which can, by changing the weights of connections between its elements, evolve to a dynamical state with the prescribed (low or high) synchronization level, is considered and investigated.
Fil: Kaluza, Pablo Federico. Universidad Nacional de Cuyo. Facultad de Ciencias Exactas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentina
Fil: Mikhailov, Alexander S.. Max Planck. Fritz Haber Institut. Abteilung Physikalische Chemie; Alemania
description A general scheme for the construction of dynamical systems able to learn generation of the desired kinds of dynamics through adjustment of their internal structure is proposed. The scheme involves intrinsic time-delayed feedback to steer the dynamics towards the target performance. As an example, a system of coupled phase oscillators, which can, by changing the weights of connections between its elements, evolve to a dynamical state with the prescribed (low or high) synchronization level, is considered and investigated.
publishDate 2014
dc.date.none.fl_str_mv 2014-09
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/32341
Kaluza, Pablo Federico; Mikhailov, Alexander S.; Autonomous learning by simple dynamical systems with delayed feedback; American Physical Society; Physical Review E: Statistical, Nonlinear and Soft Matter Physics; 90; 3; 9-2014
1539-3755
2470-0053
CONICET Digital
CONICET
url http://hdl.handle.net/11336/32341
identifier_str_mv Kaluza, Pablo Federico; Mikhailov, Alexander S.; Autonomous learning by simple dynamical systems with delayed feedback; American Physical Society; Physical Review E: Statistical, Nonlinear and Soft Matter Physics; 90; 3; 9-2014
1539-3755
2470-0053
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://journals.aps.org/pre/abstract/10.1103/PhysRevE.90.030901
info:eu-repo/semantics/altIdentifier/doi/10.1103/PhysRevE.90.030901
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv American Physical Society
publisher.none.fl_str_mv American Physical Society
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1846082863284355072
score 13.22299

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