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Numerical Solution of Some Types of Fractional Optimal Control Problems
We present two different approaches for the numerical solution of fractional optimal control problems (FOCPs) based on a spectral method using Chebyshev polynomials. The fractional derivative is described in the Caputo sense. The first approach follows the paradigm “optimize first, then discretize”...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3872407/ https://www.ncbi.nlm.nih.gov/pubmed/24385874 http://dx.doi.org/10.1155/2013/306237 |
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author | Sweilam, Nasser Hassan Al-Ajami, Tamer Mostafa Hoppe, Ronald H. W. |
author_facet | Sweilam, Nasser Hassan Al-Ajami, Tamer Mostafa Hoppe, Ronald H. W. |
author_sort | Sweilam, Nasser Hassan |
collection | PubMed |
description | We present two different approaches for the numerical solution of fractional optimal control problems (FOCPs) based on a spectral method using Chebyshev polynomials. The fractional derivative is described in the Caputo sense. The first approach follows the paradigm “optimize first, then discretize” and relies on the approximation of the necessary optimality conditions in terms of the associated Hamiltonian. In the second approach, the state equation is discretized first using the Clenshaw and Curtis scheme for the numerical integration of nonsingular functions followed by the Rayleigh-Ritz method to evaluate both the state and control variables. Two illustrative examples are included to demonstrate the validity and applicability of the suggested approaches. |
format | Online Article Text |
id | pubmed-3872407 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-38724072014-01-02 Numerical Solution of Some Types of Fractional Optimal Control Problems Sweilam, Nasser Hassan Al-Ajami, Tamer Mostafa Hoppe, Ronald H. W. ScientificWorldJournal Research Article We present two different approaches for the numerical solution of fractional optimal control problems (FOCPs) based on a spectral method using Chebyshev polynomials. The fractional derivative is described in the Caputo sense. The first approach follows the paradigm “optimize first, then discretize” and relies on the approximation of the necessary optimality conditions in terms of the associated Hamiltonian. In the second approach, the state equation is discretized first using the Clenshaw and Curtis scheme for the numerical integration of nonsingular functions followed by the Rayleigh-Ritz method to evaluate both the state and control variables. Two illustrative examples are included to demonstrate the validity and applicability of the suggested approaches. Hindawi Publishing Corporation 2013-12-09 /pmc/articles/PMC3872407/ /pubmed/24385874 http://dx.doi.org/10.1155/2013/306237 Text en Copyright © 2013 Nasser Hassan Sweilam et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Sweilam, Nasser Hassan Al-Ajami, Tamer Mostafa Hoppe, Ronald H. W. Numerical Solution of Some Types of Fractional Optimal Control Problems |
title | Numerical Solution of Some Types of Fractional Optimal Control Problems |
title_full | Numerical Solution of Some Types of Fractional Optimal Control Problems |
title_fullStr | Numerical Solution of Some Types of Fractional Optimal Control Problems |
title_full_unstemmed | Numerical Solution of Some Types of Fractional Optimal Control Problems |
title_short | Numerical Solution of Some Types of Fractional Optimal Control Problems |
title_sort | numerical solution of some types of fractional optimal control problems |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3872407/ https://www.ncbi.nlm.nih.gov/pubmed/24385874 http://dx.doi.org/10.1155/2013/306237 |
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