经济增长模型最优控制问题的RBF配点法数值求解

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
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引用次数: 1

摘要

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。
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Numerical solution of optimal control problem for economic growth model using RBF collocation method
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.
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来源期刊
CiteScore
2.20
自引率
27.30%
发文量
0
审稿时长
4 weeks
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