Numerical Solution of Fractional Optimal Control

This paper presents a numerical algorithm for solving a class of nonlinear optimal control problems subject to a system of fractional differential equations. We first propose a robust second-order numerical integration scheme for the system. The objective is approximated by the trapezoidal rule. We...

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Main Authors: Li, W., Wang, Song, Rehbock, Volker
Format: Journal Article
Published: Springer New York LLC 2018
Online Access:http://hdl.handle.net/20.500.11937/72834
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author Li, W.
Wang, Song
Rehbock, Volker
author_facet Li, W.
Wang, Song
Rehbock, Volker
author_sort Li, W.
building Curtin Institutional Repository
collection Online Access
description This paper presents a numerical algorithm for solving a class of nonlinear optimal control problems subject to a system of fractional differential equations. We first propose a robust second-order numerical integration scheme for the system. The objective is approximated by the trapezoidal rule. We then apply a gradient-based optimization method to the discretized problem. Formulas for calculating the gradients are derived. Computational results demonstrate that our method is able to generate accurate numerical approximations for problems with multiple states and controls. It is also robust with respect to the fractional orders of derivatives.
first_indexed 2025-11-14T10:54:10Z
format Journal Article
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T10:54:10Z
publishDate 2018
publisher Springer New York LLC
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repository_type Digital Repository
spelling curtin-20.500.11937-728342019-03-06T06:46:57Z Numerical Solution of Fractional Optimal Control Li, W. Wang, Song Rehbock, Volker This paper presents a numerical algorithm for solving a class of nonlinear optimal control problems subject to a system of fractional differential equations. We first propose a robust second-order numerical integration scheme for the system. The objective is approximated by the trapezoidal rule. We then apply a gradient-based optimization method to the discretized problem. Formulas for calculating the gradients are derived. Computational results demonstrate that our method is able to generate accurate numerical approximations for problems with multiple states and controls. It is also robust with respect to the fractional orders of derivatives. 2018 Journal Article http://hdl.handle.net/20.500.11937/72834 10.1007/s10957-018-1418-y Springer New York LLC restricted
spellingShingle Li, W.
Wang, Song
Rehbock, Volker
Numerical Solution of Fractional Optimal Control
title Numerical Solution of Fractional Optimal Control
title_full Numerical Solution of Fractional Optimal Control
title_fullStr Numerical Solution of Fractional Optimal Control
title_full_unstemmed Numerical Solution of Fractional Optimal Control
title_short Numerical Solution of Fractional Optimal Control
title_sort numerical solution of fractional optimal control
url http://hdl.handle.net/20.500.11937/72834