Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/76497
Título: | A multiple shooting descent-based filter method for optimal control problems |
Autor(es): | Ramadas, Gisela C. V. Fernandes, Edite Manuela da G. P. Rocha, Ana Maria A. C. Costa, M. Fernanda P. |
Palavras-chave: | Descent directions Direct multiple shooting Filter method Optimal control |
Data: | 2021 |
Editora: | Springer |
Revista: | Computational Methods in Applied Sciences |
Citação: | Ramadas G.C.V., Fernandes E.M.G.P., Rocha A.M.A.C., Costa M.F.P. (2021) A Multiple Shooting Descent-Based Filter Method for Optimal Control Problems. In: Gaspar-Cunha A., Periaux J., Giannakoglou K.C., Gauger N.R., Quagliarella D., Greiner D. (eds) Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences. Computational Methods in Applied Sciences, vol 55. Springer, Cham. https://doi.org/10.1007/978-3-030-57422-2_24 |
Resumo(s): | A direct multiple shooting (MS) method is implemented to solve optimal control problems (OCP) in the Mayer form. The use of an MS method gives rise to the so-called ‘continuity conditions’ that must be satisfied together with general algebraic equality and inequality constraints. The resulting finite nonlinear optimization problem is solved by a first-order descent method based on the filter methodology. In the equivalent tri-objective problem, the descent method aims to minimize the objective function, the violation of the ‘continuity conditions’ and the violation of the algebraic constraints simultaneously. The numerical experiments carried out with different types of benchmark OCP are encouraging. |
Tipo: | Capítulo de livro |
URI: | https://hdl.handle.net/1822/76497 |
ISBN: | 978-3-030-57421-5 |
DOI: | 10.1007/978-3-030-57422-2_24 |
ISSN: | 1871-3033 |
e-ISSN: | 2543-0203 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
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Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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Multiple-Shooting Descent Filter_ Ramadas et al.pdf | 244,17 kB | Adobe PDF | Ver/Abrir |