A Convergent Legendre Spectral Collocation Method for the Variable-Order Fractional-Functional Optimal Control Problems

IF 1.3 4区 数学 Q1 MATHEMATICS
Zahra Pirouzeh, Mohammad Hadi Noori Skandari, Kameleh Nassiri Pirbazari
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引用次数: 0

Abstract

In this paper, a numerical method is applied to approximate the solution of variable-order fractional-functional optimal control problems. The variable-order fractional derivative is described in the type III Caputo sense. The technique of approximating the optimal solution of the problem using Lagrange interpolating polynomials is employed by utilizing the shifted Legendre–Gauss–Lobatto collocation points. To obtain the coefficients of these interpolating polynomials, the problem is transformed into a nonlinear programming problem. The proposed method offers a significant advantage in that it does not require the approximation of singular integral. In addition, the matrix differentiation is calculated accurately and efficiently, overcoming the difficulties posed by variable-order fractional derivatives. The convergence of the proposed method is investigated, and to validate the effectiveness of our proposed method, some examples are presented. We achieved an excellent agreement between numerical and exact solutions for different variable orders, indicating our method’s good performance.
变阶分式函数优化控制问题的收敛 Legendre 谱配位法
本文采用数值方法近似求解变阶分数函数最优控制问题。可变阶分数导数按第三类 Caputo 意义描述。通过利用移位 Legendre-Gauss-Lobatto 配点,采用拉格朗日内插多项式近似求解问题的最优解。为了获得这些内插多项式的系数,问题被转化为非线性编程问题。所提出的方法有一个显著的优点,即它不需要对奇异积分进行逼近。此外,矩阵微分计算精确高效,克服了变阶分数导数带来的困难。我们研究了所提方法的收敛性,并列举了一些实例来验证所提方法的有效性。我们在不同变阶的数值解和精确解之间取得了极好的一致性,这表明我们的方法具有良好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Mathematics
Journal of Mathematics Mathematics-General Mathematics
CiteScore
2.50
自引率
14.30%
发文量
0
期刊介绍: Journal of Mathematics is a broad scope journal that publishes original research articles as well as review articles on all aspects of both pure and applied mathematics. As well as original research, Journal of Mathematics also publishes focused review articles that assess the state of the art, and identify upcoming challenges and promising solutions for the community.
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