基于混合龙格-库塔方法的最优控制问题的FBSM解

IF 0.4 Q4 MATHEMATICS
M. Ebadi, A. Haghighi, I. Maleki, A. Ebadian
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引用次数: 1

摘要

用分析方法求解最优控制问题(OCP)通常是困难的或不具有成本效益的。因此,解决这些问题需要数值方法。当然,有很多方法可以解决这些问题。可用于解决OCP的方法之一是前向-后向扫描方法(FBSM)。在该方法中,状态变量由前向和共态变量通过后向方法求解,其中常使用显式龙格-库塔方法(ERK)来求解由OCP引起的微分方程。本文提出了两种基于3阶和4阶ERK方法的混合方法来代替ERK方法来对OCP进行数值逼近。文中举例说明了所提出方法的截断误差和稳定性分析。最后,将新方法得到的五个最优控制问题的数值结果与求解OCP的3阶和4阶ERK方法进行了比较,表明新方法给出了更准确的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FBSM Solution of Optimal Control Problems using Hybrid Runge-Kutta based Methods
solving optimal control problems (OCP) with analytical methods has usually been difficult or not cost-effective. Therefore, solving these problems requires numerical methods. There are, of course, many ways to solve these problems. One of the methods available to solve OCP is a forward-backward sweep method (FBSM). In this method, the state variable is solved in a forward and co-state variable by a backward method where an explicit Runge--Kutta method (ERK) is often used to solve differential equations arising from OCP.In this paper, instead of the ERK method, two hybrid methods based on ERK method of order 3 and 4 are proposed for the numerical approximation of the OCP. Truncation errors and stability analysis of the presented methods are illustrated. Finally, numerical results of the five optimal control problems obtained by new methods, which shows that new methods give us more accurate results, are compared with those of ERK methods of orders 3 and 4 for solving OCP.
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