Distributed Fault Detection Using Relative Information in Linear Multi-Agent Networks
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/11144/3424 |
Resumo: | This paper addresses the problem of fault detection in the context of a collection of agents performing a shared task and exchanging relative information over a communication network. We resort to techniques in the literature to construct a meaningful observable system and overcome the issue that the system of systems is not observable. A solution involving Set-Valued Observers (SVOs) is proposed to estimate the state in a distributed fashion and a proof of convergence of the estimates is given under mild assumptions. The performance of the proposed algorithm is assessed through simulations. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
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Distributed Fault Detection Using Relative Information in Linear Multi-Agent NetworksFDI for linear systemsFDI for discrete-event systemsFDI theory for networked systems.This paper addresses the problem of fault detection in the context of a collection of agents performing a shared task and exchanging relative information over a communication network. We resort to techniques in the literature to construct a meaningful observable system and overcome the issue that the system of systems is not observable. A solution involving Set-Valued Observers (SVOs) is proposed to estimate the state in a distributed fashion and a proof of convergence of the estimates is given under mild assumptions. The performance of the proposed algorithm is assessed through simulations.Elsevier2018-02-07T11:37:13Z2015-01-01T00:00:00Z2015info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/11144/3424eng2405-896310.1016/j.ifacol.2015.09.567Silvestre, DanielRosa, P.Hespanha, J.P.Silvestre, C.info: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:RCAAP2024-01-11T02:24:27Zoai:repositorio.ual.pt:11144/3424Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:34:56.095670Repositório 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 |
Distributed Fault Detection Using Relative Information in Linear Multi-Agent Networks |
title |
Distributed Fault Detection Using Relative Information in Linear Multi-Agent Networks |
spellingShingle |
Distributed Fault Detection Using Relative Information in Linear Multi-Agent Networks Silvestre, Daniel FDI for linear systems FDI for discrete-event systems FDI theory for networked systems. |
title_short |
Distributed Fault Detection Using Relative Information in Linear Multi-Agent Networks |
title_full |
Distributed Fault Detection Using Relative Information in Linear Multi-Agent Networks |
title_fullStr |
Distributed Fault Detection Using Relative Information in Linear Multi-Agent Networks |
title_full_unstemmed |
Distributed Fault Detection Using Relative Information in Linear Multi-Agent Networks |
title_sort |
Distributed Fault Detection Using Relative Information in Linear Multi-Agent Networks |
author |
Silvestre, Daniel |
author_facet |
Silvestre, Daniel Rosa, P. Hespanha, J.P. Silvestre, C. |
author_role |
author |
author2 |
Rosa, P. Hespanha, J.P. Silvestre, C. |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Silvestre, Daniel Rosa, P. Hespanha, J.P. Silvestre, C. |
dc.subject.por.fl_str_mv |
FDI for linear systems FDI for discrete-event systems FDI theory for networked systems. |
topic |
FDI for linear systems FDI for discrete-event systems FDI theory for networked systems. |
description |
This paper addresses the problem of fault detection in the context of a collection of agents performing a shared task and exchanging relative information over a communication network. We resort to techniques in the literature to construct a meaningful observable system and overcome the issue that the system of systems is not observable. A solution involving Set-Valued Observers (SVOs) is proposed to estimate the state in a distributed fashion and a proof of convergence of the estimates is given under mild assumptions. The performance of the proposed algorithm is assessed through simulations. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-01-01T00:00:00Z 2015 2018-02-07T11:37:13Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/11144/3424 |
url |
http://hdl.handle.net/11144/3424 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2405-8963 10.1016/j.ifacol.2015.09.567 |
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 |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
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 |
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1799136825901580288 |