Optimal control of linear fractional differential equations in the Caputo sense

IF 2.6 2区 数学 Q1 MATHEMATICS, APPLIED Journal of Computational and Applied Mathematics Pub Date : 2025-12-15 Epub Date: 2025-04-19 DOI:10.1016/j.cam.2025.116707
José Villa-Morales , Luis Rincón , Gerardo Becerra-Guzmán
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Abstract

In this work, we study a time-optimal control problem involving bounded controls to regulate the dynamics of a linear fractional differential equation in the Caputo sense. We prove that the equation governing the dynamics admits optimal controls, which are of the bang–bang type. Additionally, we establish the validity of a maximum principle for determining the optimal control. The paper includes two application examples. The first example demonstrates that the optimal time can be achieved by appropriately selecting the fractional index. The second example illustrates that the choice between the classical and the fractional model may depend on the initial state of the dynamics.
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卡普托意义下线性分数阶微分方程的最优控制
在这项工作中,我们研究了一个涉及有界控制的时间最优控制问题,以调节Caputo意义下的线性分数阶微分方程的动力学。我们证明了控制动力学方程的最优控制是bang-bang型的。此外,我们还建立了确定最优控制的极大值原理的有效性。文中包括两个应用实例。第一个示例表明,通过适当选择分数索引可以获得最佳时间。第二个例子说明了经典模型和分数模型之间的选择可能取决于动力学的初始状态。
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来源期刊
CiteScore
5.40
自引率
4.20%
发文量
437
审稿时长
3.0 months
期刊介绍: The Journal of Computational and Applied Mathematics publishes original papers of high scientific value in all areas of computational and applied mathematics. The main interest of the Journal is in papers that describe and analyze new computational techniques for solving scientific or engineering problems. Also the improved analysis, including the effectiveness and applicability, of existing methods and algorithms is of importance. The computational efficiency (e.g. the convergence, stability, accuracy, ...) should be proved and illustrated by nontrivial numerical examples. Papers describing only variants of existing methods, without adding significant new computational properties are not of interest. The audience consists of: applied mathematicians, numerical analysts, computational scientists and engineers.
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