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Observer design for a class of nonlinear piecewise systems. Application to an epidemic model with treatment.
Abdelhedi, Abdessamad; Boutat, Driss; Sbita, Lassaad; Tami, Ramdane; Liu, Da-Yan.
Afiliação
  • Abdelhedi A; National Engineering School of Gabes, Research Unit of Photovoltaic, Wind and Geothermal Systems, Tunisia. Electronic address: abdessmad.abdelhedi@gmail.com.
  • Boutat D; INSA Centre Val de Loire, Université d'Orléans, PRISME EA 4229, 18022 Bourges, France. Electronic address: driss.boutat@insa-cvl.fr.
  • Sbita L; National Engineering School of Gabes, Research Unit of Photovoltaic, Wind and Geothermal Systems, Tunisia. Electronic address: lassaad.sbita@enig.rnu.tn.
  • Tami R; INSA Centre Val de Loire, Université d'Orléans, PRISME EA 4229, 18022 Bourges, France. Electronic address: ramdane.tami@insa-cvl.fr.
  • Liu DY; INSA Centre Val de Loire, Université d'Orléans, PRISME EA 4229, 18022 Bourges, France. Electronic address: dayan.liu@insa-cvl.fr.
Math Biosci ; 271: 128-35, 2016 Jan.
Article em En | MEDLINE | ID: mdl-26606994
ABSTRACT
Susceptible Exposed Infectious and Recovered epidemic model endowed with a treatment function (SEIR-T model) is a well-known model used to reproduce the behavior of an epidemic, where the susceptible population and the exposed population need to be estimated to predict and control the propagation of a contagious disease. This paper focuses on the nonlinear observer design for a class of nonlinear piecewise systems including SEIR-T models. For this purpose, two changes of coordinates are provided to transform the considered systems into an extended nonlinear observer normal form, on which a high gain observer can be applied. Then, the proposed method is applied to a SEIR-T model. Finally, simulation results are given to show its efficiency.
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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 2_ODS3 Base de dados: MEDLINE Assunto principal: Doenças Transmissíveis / Dinâmica não Linear / Epidemias / Modelos Teóricos Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Math Biosci Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 2_ODS3 Base de dados: MEDLINE Assunto principal: Doenças Transmissíveis / Dinâmica não Linear / Epidemias / Modelos Teóricos Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Math Biosci Ano de publicação: 2016 Tipo de documento: Article