Application of indirect methods to optimal control problems in epidemiology

Caio, P.; Silva, C. J.

doi:10.1007/978-3-031-81724-3_40

Please use this identifier to cite or link to this item: http://hdl.handle.net/10071/36813

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DC Field	Value	Language
dc.contributor.author	Caio, P.	-
dc.contributor.author	Silva, C. J.	-
dc.contributor.editor	Aguiar, Antonio Pedro	-
dc.contributor.editor	Malonek, Paula Rocha	-
dc.contributor.editor	Pinto, Vítor Hugo	-
dc.contributor.editor	Fontes, Fernando A. C. C.	-
dc.contributor.editor	Chertovskih, Roman	-
dc.date.accessioned	2026-04-07T08:54:04Z	-
dc.date.issued	2025	-
dc.identifier.citation	Caio, 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.isbn	978-3-031-81724-3	-
dc.identifier.issn	1876-1100	-
dc.identifier.uri	http://hdl.handle.net/10071/36813	-
dc.description.abstract	Currently 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-toolbox	eng
dc.language.iso	eng	-
dc.publisher	Springer	-
dc.relation	info: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.ispartof	CONTROLO 2024: Proceedings of the 16th APCA International Conference on Automatic Control and Soft Computing	-
dc.rights	embargoedAccess	-
dc.subject	Optimal control	eng
dc.subject	Indirect methods	eng
dc.subject	Shooting methods	eng
dc.subject	Epidemiological models	eng
dc.subject	Compartmental models	eng
dc.title	Application of indirect methods to optimal control problems in epidemiology	eng
dc.type	conferenceObject	-
dc.event.title	CONTROLO: APCA International Conference on Automatic Control and Soft Computing	-
dc.event.type	Conferência	pt
dc.event.location	Porto	eng
dc.event.date	2024	-
dc.pagination	444 - 454	-
dc.peerreviewed	yes	-
dc.volume	1325	-
dc.date.updated	2026-04-07T09:48:56Z	-
dc.description.version	info:eu-repo/semantics/acceptedVersion	-
dc.identifier.doi	10.1007/978-3-031-81724-3_40	-
dc.date.embargo	2026-04-23	-
iscte.identifier.ciencia	https://ciencia.iscte-iul.pt/id/ci-pub-112514	-
iscte.alternateIdentifiers.scopus	2-s2.0-105003903095	-
Appears in Collections:	ISTAR-CRI - Comunicações a conferências internacionais

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