Interval observer for uncertain time-varying SIR-SI model of vector-borne disease
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional do FGV (FGV Repositório Digital) |
Texto Completo: | http://hdl.handle.net/10438/18170 |
Resumo: | The issue of state estimation is considered for an SIR-SI model describing a vector-borne disease such as dengue fever, with seasonal variations and uncertainties in the transmission rates. Assuming continuous measurement of the number of new infectives in the host population per unit time, a class of interval observers with estimate-dependent gain is constructed, and asymptotic error bounds are provided. The synthesis method is based on the search for a common linear Lyapunov function for monotone systems representing the evolution of the estimation errors. |
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Aronna, Maria SoledadBliman, Pierre-AlexandreEscolas::EMApDemais unidades::RPCA2017-04-11T13:21:45Z2017-04-11T13:21:45Z2017http://hdl.handle.net/10438/18170The issue of state estimation is considered for an SIR-SI model describing a vector-borne disease such as dengue fever, with seasonal variations and uncertainties in the transmission rates. Assuming continuous measurement of the number of new infectives in the host population per unit time, a class of interval observers with estimate-dependent gain is constructed, and asymptotic error bounds are provided. The synthesis method is based on the search for a common linear Lyapunov function for monotone systems representing the evolution of the estimation errors.engEMApVector-borne diseaseDengue feverSaúdeDengueArbovirosesInterval observer for uncertain time-varying SIR-SI model of vector-borne diseaseinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlereponame:Repositório Institucional do FGV (FGV Repositório Digital)instname:Fundação Getulio Vargas (FGV)instacron:FGVinfo:eu-repo/semantics/openAccessControle da dengue através da introdução da bactéria Wolbachia e o uso de insecticidasRede de Pesquisa e Conhecimento AplicadoProjetos de Pesquisa AplicadaTEXTInterval_observer_for_uncertain_time_varying_SIR_SI_model_of_vector_borne_disease.pdf.txtInterval_observer_for_uncertain_time_varying_SIR_SI_model_of_vector_borne_disease.pdf.txtExtracted 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dc.title.eng.fl_str_mv |
Interval observer for uncertain time-varying SIR-SI model of vector-borne disease |
title |
Interval observer for uncertain time-varying SIR-SI model of vector-borne disease |
spellingShingle |
Interval observer for uncertain time-varying SIR-SI model of vector-borne disease Aronna, Maria Soledad Vector-borne disease Dengue fever Saúde Dengue Arboviroses |
title_short |
Interval observer for uncertain time-varying SIR-SI model of vector-borne disease |
title_full |
Interval observer for uncertain time-varying SIR-SI model of vector-borne disease |
title_fullStr |
Interval observer for uncertain time-varying SIR-SI model of vector-borne disease |
title_full_unstemmed |
Interval observer for uncertain time-varying SIR-SI model of vector-borne disease |
title_sort |
Interval observer for uncertain time-varying SIR-SI model of vector-borne disease |
author |
Aronna, Maria Soledad |
author_facet |
Aronna, Maria Soledad Bliman, Pierre-Alexandre |
author_role |
author |
author2 |
Bliman, Pierre-Alexandre |
author2_role |
author |
dc.contributor.unidadefgv.por.fl_str_mv |
Escolas::EMAp Demais unidades::RPCA |
dc.contributor.author.fl_str_mv |
Aronna, Maria Soledad Bliman, Pierre-Alexandre |
dc.subject.eng.fl_str_mv |
Vector-borne disease |
topic |
Vector-borne disease Dengue fever Saúde Dengue Arboviroses |
dc.subject.por.fl_str_mv |
Dengue fever |
dc.subject.area.por.fl_str_mv |
Saúde |
dc.subject.bibliodata.por.fl_str_mv |
Dengue Arboviroses |
description |
The issue of state estimation is considered for an SIR-SI model describing a vector-borne disease such as dengue fever, with seasonal variations and uncertainties in the transmission rates. Assuming continuous measurement of the number of new infectives in the host population per unit time, a class of interval observers with estimate-dependent gain is constructed, and asymptotic error bounds are provided. The synthesis method is based on the search for a common linear Lyapunov function for monotone systems representing the evolution of the estimation errors. |
publishDate |
2017 |
dc.date.accessioned.fl_str_mv |
2017-04-11T13:21:45Z |
dc.date.available.fl_str_mv |
2017-04-11T13:21:45Z |
dc.date.issued.fl_str_mv |
2017 |
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/10438/18170 |
url |
http://hdl.handle.net/10438/18170 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
EMAp |
publisher.none.fl_str_mv |
EMAp |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional do FGV (FGV Repositório Digital) instname:Fundação Getulio Vargas (FGV) instacron:FGV |
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Fundação Getulio Vargas (FGV) |
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FGV |
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collection |
Repositório Institucional do FGV (FGV Repositório Digital) |
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