Utilize este identificador para referenciar este registo: http://hdl.handle.net/10071/36813
Registo completo
Campo DCValorIdioma
dc.contributor.authorCaio, P.-
dc.contributor.authorSilva, C. J.-
dc.contributor.editorAguiar, Antonio Pedro-
dc.contributor.editorMalonek, Paula Rocha-
dc.contributor.editorPinto, Vítor Hugo-
dc.contributor.editorFontes, Fernando A. C. C.-
dc.contributor.editorChertovskih, Roman-
dc.date.accessioned2026-04-07T08:54:04Z-
dc.date.issued2025-
dc.identifier.citationCaio, P., & Silva, C. J. (2025). Application of indirect methods to optimal control problems in epidemiology. In A. P. Aguiar, P. R. Malonek, V. H. Pinto, F. A. C. C. Fontes, & R. Chertovskih (Eds.), CONTROLO 2024: Proceedings of the 16th APCA International Conference on Automatic Control and Soft Computing (pp. 444-454). Springer. https://doi.org/10.1007/978-3-031-81724-3_40-
dc.identifier.isbn978-3-031-81724-3-
dc.identifier.issn1876-1100-
dc.identifier.urihttp://hdl.handle.net/10071/36813-
dc.description.abstractCurrently most of the numerical resolution of optimal control problems is done using direct methods where the increase accuracy of indirect methods is overshadowed by the necessary analytical derivation required beforehand. With recent developments from the control-toolbox ecosystem team the application of indirect methods as become more streamline enabling a wider range of problems to be solved, like, for example, optimal control problems applied to the transmission of infectious diseases. In this work, we aim to extend the application of indirect methods to optimal control problems applied to epidemiological models, using the control-toolboxeng
dc.language.isoeng-
dc.publisherSpringer-
dc.relationinfo:eu-repo/grantAgreement/FCT/Concurso de avaliação no âmbito do Programa Plurianual de Financiamento de Unidades de I&D (2017%2F2018) - Financiamento Base/UIDB%2F04106%2F2020/PT-
dc.relation.ispartofCONTROLO 2024: Proceedings of the 16th APCA International Conference on Automatic Control and Soft Computing-
dc.rightsembargoedAccess-
dc.subjectOptimal controleng
dc.subjectIndirect methodseng
dc.subjectShooting methodseng
dc.subjectEpidemiological modelseng
dc.subjectCompartmental modelseng
dc.titleApplication of indirect methods to optimal control problems in epidemiologyeng
dc.typeconferenceObject-
dc.event.titleCONTROLO: APCA International Conference on Automatic Control and Soft Computing-
dc.event.typeConferênciapt
dc.event.locationPortoeng
dc.event.date2024-
dc.pagination444 - 454-
dc.peerreviewedyes-
dc.volume1325-
dc.date.updated2026-04-07T09:48:56Z-
dc.description.versioninfo:eu-repo/semantics/acceptedVersion-
dc.identifier.doi10.1007/978-3-031-81724-3_40-
dc.date.embargo2026-04-23-
iscte.identifier.cienciahttps://ciencia.iscte-iul.pt/id/ci-pub-112514-
iscte.alternateIdentifiers.scopus2-s2.0-105003903095-
Aparece nas coleções:ISTAR-CRI - Comunicações a conferências internacionais

Ficheiros deste registo:
Ficheiro TamanhoFormato 
confereceObject_112514.pdf
  Restricted Access
421,5 kBAdobe PDFVer/Abrir Request a copy


FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpaceOrkut
Formato BibTex mendeley Endnote Logotipo do DeGóis Logotipo do Orcid 

Todos os registos no repositório estão protegidos por leis de copyright, com todos os direitos reservados.