Finite-time average consensus in a Byzantine environment using Set-Valued Observers

Detalhes bibliográficos
Autor(a) principal: Silvestre, Daniel
Data de Publicação: 2014
Outros Autores: Rosa, P., Hespanha, J.P., Silvestre, C.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/11144/3417
Resumo: This paper addresses the problem of consensus in the presence of Byzantine faults, modeled by an attacker injecting a perturbation in the state of the nodes of a network. It is firstly shown that Set-Valued Observers (SVOs) attain finite-time consensus, even in the case where the state estimates are not shared between nodes, at the expenses of requiring large horizons, thus rendering the computation problem intractable in the general case. A novel algorithm is therefore proposed that achieves finite-time consensus, even if the aforementioned requirement is dropped, by intersecting the set-valued state estimates of neighboring nodes, making it suitable for practical applications and enabling nodes to determine a stopping time. This is in contrast with the standard iterative solutions found in the literature, for which the algorithms typically converge asymptotically and without any guarantees regarding the maximum error of the final consensus value, under faulty environments. The algorithm suggested is evaluated in simulation, illustrating, in particular, the finite-time consensus property.
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spelling Finite-time average consensus in a Byzantine environment using Set-Valued ObserversFinite-time convergenceFault diagnosisIterative methodsByzantine faultsThis paper addresses the problem of consensus in the presence of Byzantine faults, modeled by an attacker injecting a perturbation in the state of the nodes of a network. It is firstly shown that Set-Valued Observers (SVOs) attain finite-time consensus, even in the case where the state estimates are not shared between nodes, at the expenses of requiring large horizons, thus rendering the computation problem intractable in the general case. A novel algorithm is therefore proposed that achieves finite-time consensus, even if the aforementioned requirement is dropped, by intersecting the set-valued state estimates of neighboring nodes, making it suitable for practical applications and enabling nodes to determine a stopping time. This is in contrast with the standard iterative solutions found in the literature, for which the algorithms typically converge asymptotically and without any guarantees regarding the maximum error of the final consensus value, under faulty environments. The algorithm suggested is evaluated in simulation, illustrating, in particular, the finite-time consensus property.IEEE2018-02-07T10:23:13Z2014-06-01T00:00:00Z2014-06info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/11144/3417eng10.1109/ACC.2014.6859426Silvestre, 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:RCAAP2024-01-11T02:21:12Zoai:repositorio.ual.pt:11144/3417Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:34:14.024504Repositório 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 Finite-time average consensus in a Byzantine environment using Set-Valued Observers
title Finite-time average consensus in a Byzantine environment using Set-Valued Observers
spellingShingle Finite-time average consensus in a Byzantine environment using Set-Valued Observers
Silvestre, Daniel
Finite-time convergence
Fault diagnosis
Iterative methods
Byzantine faults
title_short Finite-time average consensus in a Byzantine environment using Set-Valued Observers
title_full Finite-time average consensus in a Byzantine environment using Set-Valued Observers
title_fullStr Finite-time average consensus in a Byzantine environment using Set-Valued Observers
title_full_unstemmed Finite-time average consensus in a Byzantine environment using Set-Valued Observers
title_sort Finite-time average consensus in a Byzantine environment using Set-Valued Observers
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 Finite-time convergence
Fault diagnosis
Iterative methods
Byzantine faults
topic Finite-time convergence
Fault diagnosis
Iterative methods
Byzantine faults
description This paper addresses the problem of consensus in the presence of Byzantine faults, modeled by an attacker injecting a perturbation in the state of the nodes of a network. It is firstly shown that Set-Valued Observers (SVOs) attain finite-time consensus, even in the case where the state estimates are not shared between nodes, at the expenses of requiring large horizons, thus rendering the computation problem intractable in the general case. A novel algorithm is therefore proposed that achieves finite-time consensus, even if the aforementioned requirement is dropped, by intersecting the set-valued state estimates of neighboring nodes, making it suitable for practical applications and enabling nodes to determine a stopping time. This is in contrast with the standard iterative solutions found in the literature, for which the algorithms typically converge asymptotically and without any guarantees regarding the maximum error of the final consensus value, under faulty environments. The algorithm suggested is evaluated in simulation, illustrating, in particular, the finite-time consensus property.
publishDate 2014
dc.date.none.fl_str_mv 2014-06-01T00:00:00Z
2014-06
2018-02-07T10:23:13Z
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/11144/3417
url http://hdl.handle.net/11144/3417
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1109/ACC.2014.6859426
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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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
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