Application of Optimal HAM for Finding Feedback Control of Optimal Control Problems

An optimal homotopy-analysis approach is described for Hamilton-Jacobi-Bellman equation (HJB) arising in nonlinear optimal control problems. This optimal approach contains at most three convergence-control parameters and is computationally rather efficient. A kind of averaged residual error is defin...

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Main Authors: H. Saberi Nik, Stanford Shateyi
Format: Article
Language:English
Published: Hindawi Limited 2013-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2013/914741
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spelling doaj-9d4c11a757f64ab58c9d5814fc2cefd82020-11-24T22:38:00ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472013-01-01201310.1155/2013/914741914741Application of Optimal HAM for Finding Feedback Control of Optimal Control ProblemsH. Saberi Nik0Stanford Shateyi1Department of Mathematics, Neyshabur Branch, Islamic Azad University, Neyshabur, IranDepartment of Mathematics, University of Venda, Private Bag X5050, Thohoyandou 0950, South AfricaAn optimal homotopy-analysis approach is described for Hamilton-Jacobi-Bellman equation (HJB) arising in nonlinear optimal control problems. This optimal approach contains at most three convergence-control parameters and is computationally rather efficient. A kind of averaged residual error is defined. By minimizing the averaged residual error, the optimal convergence-control parameters can be obtained. This optimal approach has general meanings and can be used to get fast convergent series solutions of different types of equations with strong nonlinearity. The closed-loop optimal control is obtained using the Bellman dynamic programming. Numerical examples are considered aiming to demonstrate the validity and applicability of the proposed techniques and to compare with the existing results.http://dx.doi.org/10.1155/2013/914741
collection DOAJ
language English
format Article
sources DOAJ
author H. Saberi Nik
Stanford Shateyi
spellingShingle H. Saberi Nik
Stanford Shateyi
Application of Optimal HAM for Finding Feedback Control of Optimal Control Problems
Mathematical Problems in Engineering
author_facet H. Saberi Nik
Stanford Shateyi
author_sort H. Saberi Nik
title Application of Optimal HAM for Finding Feedback Control of Optimal Control Problems
title_short Application of Optimal HAM for Finding Feedback Control of Optimal Control Problems
title_full Application of Optimal HAM for Finding Feedback Control of Optimal Control Problems
title_fullStr Application of Optimal HAM for Finding Feedback Control of Optimal Control Problems
title_full_unstemmed Application of Optimal HAM for Finding Feedback Control of Optimal Control Problems
title_sort application of optimal ham for finding feedback control of optimal control problems
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2013-01-01
description An optimal homotopy-analysis approach is described for Hamilton-Jacobi-Bellman equation (HJB) arising in nonlinear optimal control problems. This optimal approach contains at most three convergence-control parameters and is computationally rather efficient. A kind of averaged residual error is defined. By minimizing the averaged residual error, the optimal convergence-control parameters can be obtained. This optimal approach has general meanings and can be used to get fast convergent series solutions of different types of equations with strong nonlinearity. The closed-loop optimal control is obtained using the Bellman dynamic programming. Numerical examples are considered aiming to demonstrate the validity and applicability of the proposed techniques and to compare with the existing results.
url http://dx.doi.org/10.1155/2013/914741
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AT stanfordshateyi applicationofoptimalhamforfindingfeedbackcontrolofoptimalcontrolproblems
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