Optimal control by multiple shooting and weighted tchebycheff penalty-based scalarization
| Autor(a) principal: | |
|---|---|
| Data de Publicação: | 2021 |
| Outros Autores: | , , |
| Idioma: | eng |
| Título da fonte: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
| Texto Completo: | https://hdl.handle.net/1822/78200 |
Resumo: | Numerical direct multiple shooting (MS) methods have shown to be important and efficient tools to solve optimal control problems (OCP). The use of an MS method to solve the OCP gives rise to a finite-dimensional optimization problem with a set of "continuity constraints" that should be satisfied together with the other algebraic states and control constraints of the OCP. Using non-negative functions to measure the violation of the "continuity constraints" and of the algebraic constraints separately, the finite-dimensional problem is reformulated as a multi-objective problem with three objectives to be optimized. This paper explores the use of a multi-objective approach, the weighted Tchebycheff scalarization method, to minimize the objective functional and satisfy all the constraint conditions of the OCP. During implementation, a penalty term is added to the Tchebycheff aggregated objective function aiming to force and accelerate the convergence of the constraint violations to zero. The effectiveness of the new methodology is illustrated with the experiments carried out with six OCP. |
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Optimal control by multiple shooting and weighted tchebycheff penalty-based scalarizationOptimal controlMultiple shootingTchebycheff scalarizationScience & TechnologyNumerical direct multiple shooting (MS) methods have shown to be important and efficient tools to solve optimal control problems (OCP). The use of an MS method to solve the OCP gives rise to a finite-dimensional optimization problem with a set of "continuity constraints" that should be satisfied together with the other algebraic states and control constraints of the OCP. Using non-negative functions to measure the violation of the "continuity constraints" and of the algebraic constraints separately, the finite-dimensional problem is reformulated as a multi-objective problem with three objectives to be optimized. This paper explores the use of a multi-objective approach, the weighted Tchebycheff scalarization method, to minimize the objective functional and satisfy all the constraint conditions of the OCP. During implementation, a penalty term is added to the Tchebycheff aggregated objective function aiming to force and accelerate the convergence of the constraint violations to zero. The effectiveness of the new methodology is illustrated with the experiments carried out with six OCP.- This work has been supported by FCT - Fundacao para a Ciencia e Tecnologia within the R&D Units Project Scope: UIDB/00319/2020, UIDB/00013/2020 and UIDP/00013/2020 of CMAT-UM. We also acknowledge the financial support of CIDEM.SpringerUniversidade do MinhoRamadas, Gisela C. VieiraFernandes, Edite M. G. P.Rocha, Ana Maria A. C.Costa, M. Fernanda P.2021-01-012021-01-01T00:00:00Zconference paperinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/1822/78200eng978-3-030-86975-50302-974310.1007/978-3-030-86976-2_23978-3-030-86976-2https://link.springer.com/chapter/10.1007/978-3-030-86976-2_23info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-11T05:40:35Zoai:repositorium.sdum.uminho.pt:1822/78200Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T15:26:18.645606Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
| dc.title.none.fl_str_mv |
Optimal control by multiple shooting and weighted tchebycheff penalty-based scalarization |
| title |
Optimal control by multiple shooting and weighted tchebycheff penalty-based scalarization |
| spellingShingle |
Optimal control by multiple shooting and weighted tchebycheff penalty-based scalarization Ramadas, Gisela C. Vieira Optimal control Multiple shooting Tchebycheff scalarization Science & Technology |
| title_short |
Optimal control by multiple shooting and weighted tchebycheff penalty-based scalarization |
| title_full |
Optimal control by multiple shooting and weighted tchebycheff penalty-based scalarization |
| title_fullStr |
Optimal control by multiple shooting and weighted tchebycheff penalty-based scalarization |
| title_full_unstemmed |
Optimal control by multiple shooting and weighted tchebycheff penalty-based scalarization |
| title_sort |
Optimal control by multiple shooting and weighted tchebycheff penalty-based scalarization |
| author |
Ramadas, Gisela C. Vieira |
| author_facet |
Ramadas, Gisela C. Vieira Fernandes, Edite M. G. P. Rocha, Ana Maria A. C. Costa, M. Fernanda P. |
| author_role |
author |
| author2 |
Fernandes, Edite M. G. P. Rocha, Ana Maria A. C. Costa, M. Fernanda P. |
| author2_role |
author author author |
| dc.contributor.none.fl_str_mv |
Universidade do Minho |
| dc.contributor.author.fl_str_mv |
Ramadas, Gisela C. Vieira Fernandes, Edite M. G. P. Rocha, Ana Maria A. C. Costa, M. Fernanda P. |
| dc.subject.por.fl_str_mv |
Optimal control Multiple shooting Tchebycheff scalarization Science & Technology |
| topic |
Optimal control Multiple shooting Tchebycheff scalarization Science & Technology |
| description |
Numerical direct multiple shooting (MS) methods have shown to be important and efficient tools to solve optimal control problems (OCP). The use of an MS method to solve the OCP gives rise to a finite-dimensional optimization problem with a set of "continuity constraints" that should be satisfied together with the other algebraic states and control constraints of the OCP. Using non-negative functions to measure the violation of the "continuity constraints" and of the algebraic constraints separately, the finite-dimensional problem is reformulated as a multi-objective problem with three objectives to be optimized. This paper explores the use of a multi-objective approach, the weighted Tchebycheff scalarization method, to minimize the objective functional and satisfy all the constraint conditions of the OCP. During implementation, a penalty term is added to the Tchebycheff aggregated objective function aiming to force and accelerate the convergence of the constraint violations to zero. The effectiveness of the new methodology is illustrated with the experiments carried out with six OCP. |
| publishDate |
2021 |
| dc.date.none.fl_str_mv |
2021-01-01 2021-01-01T00:00:00Z |
| dc.type.driver.fl_str_mv |
conference paper |
| dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
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publishedVersion |
| dc.identifier.uri.fl_str_mv |
https://hdl.handle.net/1822/78200 |
| url |
https://hdl.handle.net/1822/78200 |
| dc.language.iso.fl_str_mv |
eng |
| language |
eng |
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978-3-030-86975-5 0302-9743 10.1007/978-3-030-86976-2_23 978-3-030-86976-2 https://link.springer.com/chapter/10.1007/978-3-030-86976-2_23 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
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Springer |
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Springer |
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