Fractional truncated exponential method for linear fractional optimal control problems

IF 4.4 2区 数学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Mathematics and Computers in Simulation Pub Date : 2025-06-01 Epub Date: 2025-01-17 DOI:10.1016/j.matcom.2025.01.009
Said Ounamane , Lakhlifa Sadek , Bouchra Abouzaid , El Mostafa Sadek
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Abstract

In this paper, we employ the Caputo fractional derivative (CFD) approach and utilize the truncated exponential method to tackle linear fractional optimal control problems (FOCPs) with equality and inequality constraints in multi-dimensional settings. By applying the truncated exponential method, we transform the FOCP into a system of algebraic equations that can be readily solved. Our analysis extends to the convergence and error estimation (EE) of truncated exponential method polynomials, and we introduce a residual correction procedure to refine error estimates. To assess the effectiveness and applicability of the proposed method, we conduct experiments on three different examples and compare our results with those of the previously obtained ones. Our findings yield very satisfactory results, and in some cases, we obtain exact solutions.
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线性分数阶最优控制问题的分数阶截断指数法
本文采用Caputo分数阶导数(CFD)方法和截断指数方法来解决多维环境下具有等式和不等式约束的线性分数阶最优控制问题(FOCPs)。利用截断指数法,我们将该问题转化为易于求解的代数方程组。我们的分析扩展到截断指数法多项式的收敛和误差估计(EE),并引入残差校正程序来改进误差估计。为了评估所提出方法的有效性和适用性,我们在三个不同的例子上进行了实验,并将我们的结果与之前得到的结果进行了比较。我们的发现产生了非常令人满意的结果,在某些情况下,我们得到了精确的解。
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来源期刊
Mathematics and Computers in Simulation
Mathematics and Computers in Simulation 数学-计算机:跨学科应用
CiteScore
8.90
自引率
4.30%
发文量
335
审稿时长
54 days
期刊介绍: The aim of the journal is to provide an international forum for the dissemination of up-to-date information in the fields of the mathematics and computers, in particular (but not exclusively) as they apply to the dynamics of systems, their simulation and scientific computation in general. Published material ranges from short, concise research papers to more general tutorial articles. Mathematics and Computers in Simulation, published monthly, is the official organ of IMACS, the International Association for Mathematics and Computers in Simulation (Formerly AICA). This Association, founded in 1955 and legally incorporated in 1956 is a member of FIACC (the Five International Associations Coordinating Committee), together with IFIP, IFAV, IFORS and IMEKO. Topics covered by the journal include mathematical tools in: •The foundations of systems modelling •Numerical analysis and the development of algorithms for simulation They also include considerations about computer hardware for simulation and about special software and compilers. The journal also publishes articles concerned with specific applications of modelling and simulation in science and engineering, with relevant applied mathematics, the general philosophy of systems simulation, and their impact on disciplinary and interdisciplinary research. The journal includes a Book Review section -- and a "News on IMACS" section that contains a Calendar of future Conferences/Events and other information about the Association.
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