Numerical solution of optimal control problem for economic growth model using RBF collocation method

IF 1.1 Q2 MATHEMATICS, APPLIED Computational Methods for Differential Equations Pub Date : 2021-03-21 DOI:10.22034/CMDE.2021.40223.1757
A. Golbabai, N. Safaei, Mahboubeh Molavi‐Arabshahi
{"title":"Numerical solution of optimal control problem for economic growth model using RBF collocation method","authors":"A. Golbabai, N. Safaei, Mahboubeh Molavi‐Arabshahi","doi":"10.22034/CMDE.2021.40223.1757","DOIUrl":null,"url":null,"abstract":"In the current paper, for the economic growth model, an efficient numerical approach on arbitrary collocation points is described according to Radial Basis Functions (RBFs) interpolation to approximate the solutions of optimal control problem. The proposed method is based on parametrizing the solutions with any arbitrary global RBF and transforming the optimal control problem into a constrained optimization problem using arbitrary collocation points. The superiority of the method is its flexibility to select between different RBF functions for the interpolation and also parametrization an extensive range of arbitrary nodes. The Lagrange multipliers method is employed to convert the constrained optimization problem into a system of algebraic equations. Numerical results approve the accuracy and performance of the presented method for solving optimal control problems in the economic growth model.","PeriodicalId":44352,"journal":{"name":"Computational Methods for Differential Equations","volume":null,"pages":null},"PeriodicalIF":1.1000,"publicationDate":"2021-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational Methods for Differential Equations","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22034/CMDE.2021.40223.1757","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 1

Abstract

In the current paper, for the economic growth model, an efficient numerical approach on arbitrary collocation points is described according to Radial Basis Functions (RBFs) interpolation to approximate the solutions of optimal control problem. The proposed method is based on parametrizing the solutions with any arbitrary global RBF and transforming the optimal control problem into a constrained optimization problem using arbitrary collocation points. The superiority of the method is its flexibility to select between different RBF functions for the interpolation and also parametrization an extensive range of arbitrary nodes. The Lagrange multipliers method is employed to convert the constrained optimization problem into a system of algebraic equations. Numerical results approve the accuracy and performance of the presented method for solving optimal control problems in the economic growth model.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
经济增长模型最优控制问题的RBF配点法数值求解
本文针对经济增长模型,利用径向基函数(rbf)插值方法,给出了一种求解任意配点的有效数值方法,以逼近最优控制问题的解。该方法基于任意全局RBF参数化解,将最优控制问题转化为任意配点约束优化问题。该方法的优点是可以灵活地选择不同的RBF函数进行插值,并可以对任意节点进行参数化。采用拉格朗日乘子法将约束优化问题转化为一个代数方程组。数值结果验证了该方法求解经济增长模型中最优控制问题的准确性和性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
2.20
自引率
27.30%
发文量
0
审稿时长
4 weeks
期刊最新文献
Two explicit and implicit finite difference schemes for time fractional Riesz space diffusion equation An effective technique for the conformable space-time fractional cubic-quartic nonlinear Schrodinger equation with different laws of nonlinearity A Study on Homotopy Analysis Method and Clique Polynomial Method Hybrid shrinking projection extragradient-like algorithms for equilibrium and fixed point problems A numerical solution of two-dimensional hyperbolic telegraph equation based on moving least square meshless method and radial basis functions
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1