Web of Science: 9 citations, Scopus: 10 citations, Google Scholar: citations
Observer-based vaccination strategy for a true mass action SEIR epidemic model with potential estimation of all the populations
De la Sen, Manuel (Universidad del País Vasco. Departamento de Electricidad y Electrónica)
Ibeas Hernández, Asier (Universitat Autònoma de Barcelona. Departament de Telecomunicació i Enginyeria de Sistemes)
Alonso-Quesada, Santiago (Universidad del País Vasco. Departamento de Electricidad y Electrónica)

Date: 2011
Abstract: This paper presents a simple continuous-time linear vaccination-based control strategy for a SEIR (susceptible plus infected plus infectious plus removed populations) propagation disease model. The model takes into account the total population amounts as a refrain for the illness transmission since its increase makes more difficult contacts among the susceptible and infected. The control objective is the asymptotically tracking of the removed-by-immunity population to the total population while achieving simultaneously the remaining population (i. e. , susceptible plus infected plus infectious) to asymptotically converge to zero. A state observer is used to estimate the true various partial populations of the susceptible, infected, infectious, and immune which are assumed to be unknown. The model parameters are also assumed to be, in general, unknown. In this case, the parameters are replaced by available estimates to implement the vaccination action.
Note: Número d'acord de subvenció MEC/DPI2009-07197
Rights: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original. Creative Commons
Language: Anglès.
Document: article ; recerca ; publishedVersion
Published in: Discrete dynamics in nature and society, Vol. 2011 (2011) , art. 743067, ISSN 1607-887X

DOI: 10.1155/2011/743067


20 p, 2.2 MB

The record appears in these collections:
Articles > Research articles
Articles > Published articles

 Record created 2019-04-11, last modified 2019-05-06



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