Memristor State-Space Embedding

Detalhes bibliográficos
Autor(a) principal: Dghais, Wael
Data de Publicação: 2015
Outros Autores: Alves, Luis Nero, Mendes, Joana Catarina, Rodriguez, Jonathan, Pedro, José Carlos
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10773/22212
Resumo: This paper presents a procedure for the determination of the dimensionality of the state space of a memristive device. The state space dimensionality of a device corresponds to the minimum number of time delayed values/derivatives of the voltage and current required to represent the device dynamics for a specified set of inputs. The algorithm is based on the observed time domain voltage-current (i.e. input-output) data which is obtained by measurement. The determination of the state space dimensionality is important to achieve a single-valued input-output multivariate mapping between the device outputs as a function of the embedding variables. In this paper, this will be accomplished using an embedding technique, based on the false nearest neighbor principle.
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spelling Memristor State-Space EmbeddingMemristor deviceNonlinear behavioral modellingFalse nearest neighbourState-space embedding.This paper presents a procedure for the determination of the dimensionality of the state space of a memristive device. The state space dimensionality of a device corresponds to the minimum number of time delayed values/derivatives of the voltage and current required to represent the device dynamics for a specified set of inputs. The algorithm is based on the observed time domain voltage-current (i.e. input-output) data which is obtained by measurement. The determination of the state space dimensionality is important to achieve a single-valued input-output multivariate mapping between the device outputs as a function of the embedding variables. In this paper, this will be accomplished using an embedding technique, based on the false nearest neighbor principle.IEEE2018-02-16T12:01:56Z2015-10-19T00:00:00Z2015-10-19conference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10773/22212eng978-147999877-710.1109/ECCTD.2015.7300040Dghais, WaelAlves, Luis NeroMendes, Joana CatarinaRodriguez, JonathanPedro, José Carlosinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-05-06T04:12:11Zoai:ria.ua.pt:10773/22212Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-05-06T04:12:11Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Memristor State-Space Embedding
title Memristor State-Space Embedding
spellingShingle Memristor State-Space Embedding
Dghais, Wael
Memristor device
Nonlinear behavioral modelling
False nearest neighbour
State-space embedding.
title_short Memristor State-Space Embedding
title_full Memristor State-Space Embedding
title_fullStr Memristor State-Space Embedding
title_full_unstemmed Memristor State-Space Embedding
title_sort Memristor State-Space Embedding
author Dghais, Wael
author_facet Dghais, Wael
Alves, Luis Nero
Mendes, Joana Catarina
Rodriguez, Jonathan
Pedro, José Carlos
author_role author
author2 Alves, Luis Nero
Mendes, Joana Catarina
Rodriguez, Jonathan
Pedro, José Carlos
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Dghais, Wael
Alves, Luis Nero
Mendes, Joana Catarina
Rodriguez, Jonathan
Pedro, José Carlos
dc.subject.por.fl_str_mv Memristor device
Nonlinear behavioral modelling
False nearest neighbour
State-space embedding.
topic Memristor device
Nonlinear behavioral modelling
False nearest neighbour
State-space embedding.
description This paper presents a procedure for the determination of the dimensionality of the state space of a memristive device. The state space dimensionality of a device corresponds to the minimum number of time delayed values/derivatives of the voltage and current required to represent the device dynamics for a specified set of inputs. The algorithm is based on the observed time domain voltage-current (i.e. input-output) data which is obtained by measurement. The determination of the state space dimensionality is important to achieve a single-valued input-output multivariate mapping between the device outputs as a function of the embedding variables. In this paper, this will be accomplished using an embedding technique, based on the false nearest neighbor principle.
publishDate 2015
dc.date.none.fl_str_mv 2015-10-19T00:00:00Z
2015-10-19
2018-02-16T12:01:56Z
dc.type.driver.fl_str_mv conference object
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10773/22212
url http://hdl.handle.net/10773/22212
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 978-147999877-7
10.1109/ECCTD.2015.7300040
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv IEEE
publisher.none.fl_str_mv IEEE
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv mluisa.alvim@gmail.com
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