Robustness of operational matrices of differentiation for solving state-space analysis and optimal control problems

The idea of approximation by monomials together with the collocation technique over a uniform mesh for solving state-space analysis and optimal control problems (OCPs) has been proposed in this paper. After imposing the Pontryagins maximum principle to the main OCPs, the problems reduce to a linear...

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Main Authors: Tohidi, Emran, Soleymani, Fazlollah, Kilicman, Adem
Format: Article
Language:English
Published: Hindawi Publishing Corporation 2013
Online Access:http://psasir.upm.edu.my/id/eprint/30203/1/30203.pdf
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author Tohidi, Emran
Soleymani, Fazlollah
Kilicman, Adem
author_facet Tohidi, Emran
Soleymani, Fazlollah
Kilicman, Adem
author_sort Tohidi, Emran
collection UPM
description The idea of approximation by monomials together with the collocation technique over a uniform mesh for solving state-space analysis and optimal control problems (OCPs) has been proposed in this paper. After imposing the Pontryagins maximum principle to the main OCPs, the problems reduce to a linear or nonlinear boundary value problem. In the linear case we propose a monomial collocation matrix approach, while in the nonlinear case, the general collocation method has been applied. We also show the efficiency of the operational matrices of differentiation with respect to the operational matrices of integration in our numerical examples. These matrices of integration are related to the Bessel, Walsh, Triangular, Laguerre, and Hermite functions.
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spelling upm.eprints-302032017-10-20T03:24:08Z http://psasir.upm.edu.my/id/eprint/30203/ Robustness of operational matrices of differentiation for solving state-space analysis and optimal control problems Tohidi, Emran Soleymani, Fazlollah Kilicman, Adem The idea of approximation by monomials together with the collocation technique over a uniform mesh for solving state-space analysis and optimal control problems (OCPs) has been proposed in this paper. After imposing the Pontryagins maximum principle to the main OCPs, the problems reduce to a linear or nonlinear boundary value problem. In the linear case we propose a monomial collocation matrix approach, while in the nonlinear case, the general collocation method has been applied. We also show the efficiency of the operational matrices of differentiation with respect to the operational matrices of integration in our numerical examples. These matrices of integration are related to the Bessel, Walsh, Triangular, Laguerre, and Hermite functions. Hindawi Publishing Corporation 2013 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/30203/1/30203.pdf Tohidi, Emran and Soleymani, Fazlollah and Kilicman, Adem (2013) Robustness of operational matrices of differentiation for solving state-space analysis and optimal control problems. Abstract and Applied Analysis, 2013. art. no. 535979. pp. 1-9. ISSN 1085-3375; ESSN: 1687-0409 https://www.hindawi.com/journals/aaa/2013/535979/abs/ 10.1155/2013/535979
spellingShingle Tohidi, Emran
Soleymani, Fazlollah
Kilicman, Adem
Robustness of operational matrices of differentiation for solving state-space analysis and optimal control problems
title Robustness of operational matrices of differentiation for solving state-space analysis and optimal control problems
title_full Robustness of operational matrices of differentiation for solving state-space analysis and optimal control problems
title_fullStr Robustness of operational matrices of differentiation for solving state-space analysis and optimal control problems
title_full_unstemmed Robustness of operational matrices of differentiation for solving state-space analysis and optimal control problems
title_short Robustness of operational matrices of differentiation for solving state-space analysis and optimal control problems
title_sort robustness of operational matrices of differentiation for solving state space analysis and optimal control problems
url http://psasir.upm.edu.my/id/eprint/30203/1/30203.pdf
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AT soleymanifazlollah robustnessofoperationalmatricesofdifferentiationforsolvingstatespaceanalysisandoptimalcontrolproblems
AT kilicmanadem robustnessofoperationalmatricesofdifferentiationforsolvingstatespaceanalysisandoptimalcontrolproblems