Interval observer for uncertain time-varying SIR-SI model of vector-borne disease

dc.contributor.authorAronna, Maria Soledad
dc.contributor.authorBliman, Pierre-Alexandre
dc.contributor.unidadefgvEscolas::EMAppor
dc.contributor.unidadefgvDemais unidades::RPCApor
dc.date.accessioned2017-04-11T13:21:45Z
dc.date.available2017-04-11T13:21:45Z
dc.date.issued2017
dc.description.abstractThe 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.eng
dc.identifier.urihttps://hdl.handle.net/10438/18170
dc.language.isoeng
dc.publisherEMAppor
dc.subjectVector-borne diseaseeng
dc.subjectDengue feverpor
dc.subject.areaSaúdepor
dc.subject.bibliodataDenguepor
dc.subject.bibliodataArbovirosespor
dc.titleInterval observer for uncertain time-varying SIR-SI model of vector-borne diseaseeng
dc.typeWorking Papereng
fgv.relation.ispartofControle da dengue através da introdução da bactéria Wolbachia e o uso de insecticidaspor
fgv.relation.ispartofRede de Pesquisa e Conhecimento Aplicadopor
fgv.relation.ispartofProjetos de Pesquisa Aplicadapor
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