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On the convergence of the gradient projection method for convex optimal control problems with bang–bang solutions
We revisit the gradient projection method in the framework of nonlinear optimal control problems with bang–bang solutions. We obtain the strong convergence of the iterative sequence of controls and the corresponding trajectories. Moreover, we establish a convergence rate, depending on a constant app...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6560933/ https://www.ncbi.nlm.nih.gov/pubmed/31258250 http://dx.doi.org/10.1007/s10589-018-9981-6 |
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author | Preininger, J. Vuong, P. T. |
author_facet | Preininger, J. Vuong, P. T. |
author_sort | Preininger, J. |
collection | PubMed |
description | We revisit the gradient projection method in the framework of nonlinear optimal control problems with bang–bang solutions. We obtain the strong convergence of the iterative sequence of controls and the corresponding trajectories. Moreover, we establish a convergence rate, depending on a constant appearing in the corresponding switching function and prove that this convergence rate estimate is sharp. Some numerical illustrations are reported confirming the theoretical results. |
format | Online Article Text |
id | pubmed-6560933 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-65609332019-06-26 On the convergence of the gradient projection method for convex optimal control problems with bang–bang solutions Preininger, J. Vuong, P. T. Comput Optim Appl Article We revisit the gradient projection method in the framework of nonlinear optimal control problems with bang–bang solutions. We obtain the strong convergence of the iterative sequence of controls and the corresponding trajectories. Moreover, we establish a convergence rate, depending on a constant appearing in the corresponding switching function and prove that this convergence rate estimate is sharp. Some numerical illustrations are reported confirming the theoretical results. Springer US 2018-01-29 2018 /pmc/articles/PMC6560933/ /pubmed/31258250 http://dx.doi.org/10.1007/s10589-018-9981-6 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Article Preininger, J. Vuong, P. T. On the convergence of the gradient projection method for convex optimal control problems with bang–bang solutions |
title | On the convergence of the gradient projection method for convex optimal control problems with bang–bang solutions |
title_full | On the convergence of the gradient projection method for convex optimal control problems with bang–bang solutions |
title_fullStr | On the convergence of the gradient projection method for convex optimal control problems with bang–bang solutions |
title_full_unstemmed | On the convergence of the gradient projection method for convex optimal control problems with bang–bang solutions |
title_short | On the convergence of the gradient projection method for convex optimal control problems with bang–bang solutions |
title_sort | on the convergence of the gradient projection method for convex optimal control problems with bang–bang solutions |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6560933/ https://www.ncbi.nlm.nih.gov/pubmed/31258250 http://dx.doi.org/10.1007/s10589-018-9981-6 |
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