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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”...

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Autores principales: Sweilam, Nasser Hassan, Al-Ajami, Tamer Mostafa, Hoppe, Ronald H. W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2013
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.
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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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