利用广义卢卡斯小波和最小二乘法数值求解各种分数阶最优控制问题

S. Sabermahani, Y. Ordokhani, M. Razzaghi
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引用次数: 0

摘要

与现有的一些经典小波函数相比,广义卢卡斯小波(GLW)多了两个参数(和)。这样,我们就可以通过选择不同的参数值和参数值,得到不同类型的小波函数(正交和非正交)。鉴于 GLWs 的显著特点,我们设计了一种新的计算方法,用于解决分数最优控制问题和分数受电弓最优控制问题。该技术使用 GLWs 和最小二乘法。该方案包括使用 GLW 元素扩展所需的函数。我们为 GLWs 提出了新的黎曼-黎欧维尔和受电弓运算矩阵。应用运算矩阵和最小二乘法,可将所考虑的问题转化为代数方程系统,并对其进行数值求解。对所使用的估计误差进行了简要讨论。最后,通过一些数值实验证明了建议方案的有效性和适用性。建议的算法易于实现,并能给出非常精确的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Numerical solution of different kinds of fractional‐order optimal control problems using generalized Lucas wavelets and the least squares method
Generalized Lucas wavelets (GLWs) have two more parameters ( and ), comparing with some existing classical wavelet functions. In this manner, we have different types of wavelet functions (orthogonal and non‐orthogonal) by choosing various values of parameters and . Due to the impressive feature of the GLWs, we design a new computational method for the solution of fractional optimal control problems and fractional pantograph optimal control problems. This technique uses the GLWs and least squares method. The scheme includes expanding the required functions using GLW elements. We present new Riemann–Liouville and pantograph operational matrices for GLWs. Applying the operational matrices and least squares method, the considered problems lead to systems of algebraic equations, which can be solved numerically. A brief discussion of the error of the estimate used is investigated. Finally, some numerical experiments are exhibited to demonstrate the validity and applicability of the suggested scheme. The proposed algorithm is easy to implement and presents very accurate results.
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