Application of indirect methods to optimal control problems in epidemiology

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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.date.updated2026-04-07T09:48:56Z
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.description.versioninfo:eu-repo/semantics/acceptedVersion
dc.event.date2024
dc.event.locationPortoeng
dc.event.titleCONTROLO: APCA International Conference on Automatic Control and Soft Computing
dc.event.typeConferênciapt
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.doi10.1007/978-3-031-81724-3_40
dc.identifier.isbn978-3-031-81724-3
dc.identifier.issn1876-1100
dc.identifier.urihttp://hdl.handle.net/10071/36813
dc.language.isoeng
dc.pagination444 - 454
dc.peerreviewedyes
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.rightsopen access
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.volume1325
dspace.entity.typePublicationen
iscte.alternateIdentifiers.scopus2-s2.0-105003903095
iscte.identifier.cienciahttps://ciencia.iscte-iul.pt/id/ci-pub-112514

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