A new framework for solving fractional optimal control problems using fractional pseudospectral methods

The main purpose of this work is to provide new fractional pseudospectral methods for solving fractional optimal control problems (FOCPs). We develop differential and integral fractional pseudospectral methods and prove the equivalence between them from the distinctive perspective of Caputo fraction...

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Main Authors: Shi, Yang, Wang, Li-Lian, Tang, Xiaojun
Other Authors: School of Physical and Mathematical Sciences
Format: Journal Article
Language:English
Published: 2017
Subjects:
Online Access:https://hdl.handle.net/10356/85494
http://hdl.handle.net/10220/43729
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author Shi, Yang
Wang, Li-Lian
Tang, Xiaojun
author2 School of Physical and Mathematical Sciences
author_facet School of Physical and Mathematical Sciences
Shi, Yang
Wang, Li-Lian
Tang, Xiaojun
author_sort Shi, Yang
collection NTU
description The main purpose of this work is to provide new fractional pseudospectral methods for solving fractional optimal control problems (FOCPs). We develop differential and integral fractional pseudospectral methods and prove the equivalence between them from the distinctive perspective of Caputo fractional Birkhoff interpolation. As a result, the present work establishes a new unified framework for solving fractional optimal control problems using fractional pseudospectral methods, which can be viewed as an extension of existing frameworks. Furthermore, we provide exact, efficient, and stable approaches to compute the associated fractional pseudospectral differentiation/integration matrices even at millions of Jacobi-type points. Numerical results on two benchmark FOCPs including a fractional bang–bang problem demonstrate the performance of the proposed methods.
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spelling ntu-10356/854942020-03-07T12:31:31Z A new framework for solving fractional optimal control problems using fractional pseudospectral methods Shi, Yang Wang, Li-Lian Tang, Xiaojun School of Physical and Mathematical Sciences Optimal Control Pseudospectral Methods The main purpose of this work is to provide new fractional pseudospectral methods for solving fractional optimal control problems (FOCPs). We develop differential and integral fractional pseudospectral methods and prove the equivalence between them from the distinctive perspective of Caputo fractional Birkhoff interpolation. As a result, the present work establishes a new unified framework for solving fractional optimal control problems using fractional pseudospectral methods, which can be viewed as an extension of existing frameworks. Furthermore, we provide exact, efficient, and stable approaches to compute the associated fractional pseudospectral differentiation/integration matrices even at millions of Jacobi-type points. Numerical results on two benchmark FOCPs including a fractional bang–bang problem demonstrate the performance of the proposed methods. MOE (Min. of Education, S’pore) 2017-09-12T06:03:03Z 2019-12-06T16:04:51Z 2017-09-12T06:03:03Z 2019-12-06T16:04:51Z 2016 Journal Article Tang, X., Shi, Y., & Wang, L.-L. (2017). A new framework for solving fractional optimal control problems using fractional pseudospectral methods. Automatica, 78, 333-340. 0005-1098 https://hdl.handle.net/10356/85494 http://hdl.handle.net/10220/43729 10.1016/j.automatica.2016.12.022 en Automatica © 2016 Elsevier Ltd.
spellingShingle Optimal Control
Pseudospectral Methods
Shi, Yang
Wang, Li-Lian
Tang, Xiaojun
A new framework for solving fractional optimal control problems using fractional pseudospectral methods
title A new framework for solving fractional optimal control problems using fractional pseudospectral methods
title_full A new framework for solving fractional optimal control problems using fractional pseudospectral methods
title_fullStr A new framework for solving fractional optimal control problems using fractional pseudospectral methods
title_full_unstemmed A new framework for solving fractional optimal control problems using fractional pseudospectral methods
title_short A new framework for solving fractional optimal control problems using fractional pseudospectral methods
title_sort new framework for solving fractional optimal control problems using fractional pseudospectral methods
topic Optimal Control
Pseudospectral Methods
url https://hdl.handle.net/10356/85494
http://hdl.handle.net/10220/43729
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