Numerical Algorithms, ( ISI ), Volume (65), No (1), Year (2014-1) , Pages (171-194)

Title : ( Spectral homotopy analysis method and its convergence for solving a class of nonlinear optimal control problems )

Authors: Sohrab Effati , Hassan Saberi Nik , S. S. Motsa , M. Shirazian ,

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A combination of the hybrid spectral collocation technique and the homotopy analysis method is used to construct an iteration algorithm for solving a class of nonlinear optimal control problems (NOCPs). In fact, the nonlinear two-point boundary value problem (TPBVP), derived from the Pontryagin’s Maximum Principle (PMP), is solved by spectral homotopy analysis method (SHAM). For the first time, we present here a convergence proof for SHAM. We treat in detail Legendre collocation and Chebyshev collocation. It is indicated that Legendre collocation gives the same numerical results with Chebyshev collocation. Comparisons are made between SHAM, Matlab bvp4c generated results and results from literature such as homotopy perturbation method (HPM), optimal homotopy perturbation method (OHPM) and differential transformations.

Keywords

Spectral homotopy analysis method Optimal control problems Pontryagin’s maximum principle Spectral
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@article{paperid:1054358,
author = {Effati, Sohrab and Saberi Nik, Hassan and S. S. Motsa and M. Shirazian},
title = {Spectral homotopy analysis method and its convergence for solving a class of nonlinear optimal control problems},
journal = {Numerical Algorithms},
year = {2014},
volume = {65},
number = {1},
month = {January},
issn = {1017-1398},
pages = {171--194},
numpages = {23},
keywords = {Spectral homotopy analysis method Optimal control problems Pontryagin’s maximum principle Spectral collocation},
}

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%0 Journal Article
%T Spectral homotopy analysis method and its convergence for solving a class of nonlinear optimal control problems
%A Effati, Sohrab
%A Saberi Nik, Hassan
%A S. S. Motsa
%A M. Shirazian
%J Numerical Algorithms
%@ 1017-1398
%D 2014

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