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

dc.contributorEscolas::EMAp
dc.contributorDemais unidades::RPCA
dc.creatorAronna, Maria Soledad
dc.creatorBliman, Pierre-Alexandre
dc.date.accessioned2017-04-11T13:21:45Z
dc.date.accessioned2022-11-03T20:08:39Z
dc.date.available2017-04-11T13:21:45Z
dc.date.available2022-11-03T20:08:39Z
dc.date.created2017-04-11T13:21:45Z
dc.date.issued2017
dc.identifierhttp://hdl.handle.net/10438/18170
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5032323
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.
dc.languageeng
dc.publisherEMAp
dc.subjectVector-borne disease
dc.subjectDengue fever
dc.titleInterval observer for uncertain time-varying SIR-SI model of vector-borne disease
dc.typeWorking Paper


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