Energy-to-Peak Filtering for Continuous-Time Markov Jump Linear Systems with Partial Information on the Jump Parameter

Detalhes bibliográficos
Autor(a) principal: Oliveira, André Marcorin de [UNIFESP]
Data de Publicação: 2023
Outros Autores: Costa, Oswaldo Luiz do Valle, Gabriel, Gabriela Werner, Santos, Sérgio Ronaldo Barros dos
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNIFESP
Texto Completo: https://ieeexplore-ieee-org.ez69.periodicos.capes.gov.br/document/9992697
https://hdl.handle.net/11600/70874
Resumo: In this paper, we study the L 2 −L ∞ filtering, also known as energy-to-peak filtering, for continuous-time Markov jump systems considering that the Markov chain cannot be directly measured. In this context, the filter has only access to an observed process related to the main jump process of the plant by means of an exponential hidden Markov model. Sufficient conditions for the design of full-order filters which impose the desired upper bond on the L 2 −L ∞ ratio are given in terms of Linear Matrix Inequalities. The paper is illustrated by means of a numerical example.
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spelling Energy-to-Peak Filtering for Continuous-Time Markov Jump Linear Systems with Partial Information on the Jump Parameterfilteringenergy-to-peak controlMarkov jump linear systemslinear matrix inequalitiesIn this paper, we study the L 2 −L ∞ filtering, also known as energy-to-peak filtering, for continuous-time Markov jump systems considering that the Markov chain cannot be directly measured. In this context, the filter has only access to an observed process related to the main jump process of the plant by means of an exponential hidden Markov model. Sufficient conditions for the design of full-order filters which impose the desired upper bond on the L 2 −L ∞ ratio are given in terms of Linear Matrix Inequalities. The paper is illustrated by means of a numerical example.© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)FAPESP 2021/13338-6FAPESP 2020/15230-5FAPESP 2014/50851-0CNPq 304149/2019-5CNPq 465755/2014−3CAPES 88887.136349/2017-00Amir G. Aghdamhttp://lattes.cnpq.br/1864836114526818Oliveira, André Marcorin de [UNIFESP]Costa, Oswaldo Luiz do ValleGabriel, Gabriela WernerSantos, Sérgio Ronaldo Barros dos2024-03-20T14:17:27Z2024-03-20T14:17:27Z2023-01-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersion6614-6619application/pdfhttps://ieeexplore-ieee-org.ez69.periodicos.capes.gov.br/document/9992697A. M. de Oliveira, O. L. V. Costa, G. W. Gabriel and S. R. Barros dos Santos, "Energy-to-Peak Filtering for Continuous-Time Markov Jump Linear Systems with Partial Information on the Jump Parameter," 2022 IEEE 61st Conference on Decision and Control (CDC), Cancun, Mexico, 2022, pp. 6614-6619, doi: 10.1109/CDC51059.2022.9992697.10.1109/CDC51059.2022.99926972576-23700743-1546https://hdl.handle.net/11600/70874eng2022 IEEE 61st Conference on Decision and Control (CDC)Cancun, Mexicoinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UNIFESPinstname:Universidade Federal de São Paulo (UNIFESP)instacron:UNIFESP2024-08-13T21:58:41Zoai:repositorio.unifesp.br/:11600/70874Repositório InstitucionalPUBhttp://www.repositorio.unifesp.br/oai/requestbiblioteca.csp@unifesp.bropendoar:34652024-08-13T21:58:41Repositório Institucional da UNIFESP - Universidade Federal de São Paulo (UNIFESP)false
dc.title.none.fl_str_mv Energy-to-Peak Filtering for Continuous-Time Markov Jump Linear Systems with Partial Information on the Jump Parameter
title Energy-to-Peak Filtering for Continuous-Time Markov Jump Linear Systems with Partial Information on the Jump Parameter
spellingShingle Energy-to-Peak Filtering for Continuous-Time Markov Jump Linear Systems with Partial Information on the Jump Parameter
Oliveira, André Marcorin de [UNIFESP]
filtering
energy-to-peak control
Markov jump linear systems
linear matrix inequalities
title_short Energy-to-Peak Filtering for Continuous-Time Markov Jump Linear Systems with Partial Information on the Jump Parameter
title_full Energy-to-Peak Filtering for Continuous-Time Markov Jump Linear Systems with Partial Information on the Jump Parameter
title_fullStr Energy-to-Peak Filtering for Continuous-Time Markov Jump Linear Systems with Partial Information on the Jump Parameter
title_full_unstemmed Energy-to-Peak Filtering for Continuous-Time Markov Jump Linear Systems with Partial Information on the Jump Parameter
title_sort Energy-to-Peak Filtering for Continuous-Time Markov Jump Linear Systems with Partial Information on the Jump Parameter
author Oliveira, André Marcorin de [UNIFESP]
author_facet Oliveira, André Marcorin de [UNIFESP]
Costa, Oswaldo Luiz do Valle
Gabriel, Gabriela Werner
Santos, Sérgio Ronaldo Barros dos
author_role author
author2 Costa, Oswaldo Luiz do Valle
Gabriel, Gabriela Werner
Santos, Sérgio Ronaldo Barros dos
author2_role author
author
author
dc.contributor.none.fl_str_mv http://lattes.cnpq.br/1864836114526818
dc.contributor.author.fl_str_mv Oliveira, André Marcorin de [UNIFESP]
Costa, Oswaldo Luiz do Valle
Gabriel, Gabriela Werner
Santos, Sérgio Ronaldo Barros dos
dc.subject.por.fl_str_mv filtering
energy-to-peak control
Markov jump linear systems
linear matrix inequalities
topic filtering
energy-to-peak control
Markov jump linear systems
linear matrix inequalities
description In this paper, we study the L 2 −L ∞ filtering, also known as energy-to-peak filtering, for continuous-time Markov jump systems considering that the Markov chain cannot be directly measured. In this context, the filter has only access to an observed process related to the main jump process of the plant by means of an exponential hidden Markov model. Sufficient conditions for the design of full-order filters which impose the desired upper bond on the L 2 −L ∞ ratio are given in terms of Linear Matrix Inequalities. The paper is illustrated by means of a numerical example.
publishDate 2023
dc.date.none.fl_str_mv 2023-01-10
2024-03-20T14:17:27Z
2024-03-20T14:17:27Z
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://ieeexplore-ieee-org.ez69.periodicos.capes.gov.br/document/9992697
A. M. de Oliveira, O. L. V. Costa, G. W. Gabriel and S. R. Barros dos Santos, "Energy-to-Peak Filtering for Continuous-Time Markov Jump Linear Systems with Partial Information on the Jump Parameter," 2022 IEEE 61st Conference on Decision and Control (CDC), Cancun, Mexico, 2022, pp. 6614-6619, doi: 10.1109/CDC51059.2022.9992697.
10.1109/CDC51059.2022.9992697
2576-2370
0743-1546
https://hdl.handle.net/11600/70874
url https://ieeexplore-ieee-org.ez69.periodicos.capes.gov.br/document/9992697
https://hdl.handle.net/11600/70874
identifier_str_mv A. M. de Oliveira, O. L. V. Costa, G. W. Gabriel and S. R. Barros dos Santos, "Energy-to-Peak Filtering for Continuous-Time Markov Jump Linear Systems with Partial Information on the Jump Parameter," 2022 IEEE 61st Conference on Decision and Control (CDC), Cancun, Mexico, 2022, pp. 6614-6619, doi: 10.1109/CDC51059.2022.9992697.
10.1109/CDC51059.2022.9992697
2576-2370
0743-1546
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2022 IEEE 61st Conference on Decision and Control (CDC)
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 6614-6619
application/pdf
dc.coverage.none.fl_str_mv Cancun, Mexico
dc.publisher.none.fl_str_mv Amir G. Aghdam
publisher.none.fl_str_mv Amir G. Aghdam
dc.source.none.fl_str_mv reponame:Repositório Institucional da UNIFESP
instname:Universidade Federal de São Paulo (UNIFESP)
instacron:UNIFESP
instname_str Universidade Federal de São Paulo (UNIFESP)
instacron_str UNIFESP
institution UNIFESP
reponame_str Repositório Institucional da UNIFESP
collection Repositório Institucional da UNIFESP
repository.name.fl_str_mv Repositório Institucional da UNIFESP - Universidade Federal de São Paulo (UNIFESP)
repository.mail.fl_str_mv biblioteca.csp@unifesp.br
_version_ 1814268443785953280

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