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http://hdl.handle.net/10071/36813| Author(s): | Caio, P. Silva, C. J. |
| Editor: | Aguiar, Antonio Pedro Malonek, Paula Rocha Pinto, Vítor Hugo Fontes, Fernando A. C. C. Chertovskih, Roman |
| Date: | 2025 |
| Title: | Application of indirect methods to optimal control problems in epidemiology |
| Volume: | 1325 |
| Book title/volume: | CONTROLO 2024: Proceedings of the 16th APCA International Conference on Automatic Control and Soft Computing |
| Pages: | 444 - 454 |
| Event title: | CONTROLO: APCA International Conference on Automatic Control and Soft Computing |
| Reference: | 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 |
| ISSN: | 1876-1100 |
| ISBN: | 978-3-031-81724-3 |
| DOI (Digital Object Identifier): | 10.1007/978-3-031-81724-3_40 |
| Keywords: | Optimal control Indirect methods Shooting methods Epidemiological models Compartmental models |
| 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 |
| Peerreviewed: | yes |
| Access type: | Embargoed Access |
| Appears in Collections: | ISTAR-CRI - Comunicações a conferências internacionais |
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