An Improved Approximation of Grunwald-Letnikov Fractional Integral

Alaa AbdAlRahman, A. M. Abdelaty, A. Soltan, A. Radwan
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引用次数: 2

Abstract

Fractional calculus increases the flexibility of a system by studying the unexplored space between two integers. However, fractional calculus’s main challenge is its implementation due to its memory dependency, which appears in the amplitudes of the w coefficients in Grunwald–Letnikov(GL) definition. A modified GL approximation is proposed to control this dependency and decrease the error. The suggested approximation is based on the difference of the w binomial coefficients, which makes the new coefficients amplitudes decay faster. Three methods are discussed and compared for implementing the standard and the proposed GL approximation. The modified approximation shows an improvement, especially in the integration region of − 1 < α < −0.5. For example, the modified approximation results in an average absolute error of (0.1987) while the standard approximation results in an average absolute error of (0.8636) for sin(t) signal at α = −0.95, step size (h) of 0.01, window size of 64, and number of samples of 6283.
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Grunwald-Letnikov分数阶积分的改进逼近
分数阶微积分通过研究两个整数之间未探索的空间来增加系统的灵活性。然而,分数阶微积分的主要挑战是它的实现,因为它依赖于内存,这出现在Grunwald-Letnikov (GL)定义中w系数的振幅中。提出了一种改进的GL近似来控制这种依赖并减小误差。建议的近似是基于w的二项式系数的差,这使得新的系数振幅衰减更快。讨论并比较了三种实现标准和所提出的GL近似的方法。改进后的近似在−1 < α <−0.5的积分区域有明显的改善。例如,对于sin(t)信号在α = - 0.95,步长(h)为0.01,窗口大小为64,样本数为6283时,修正近似的平均绝对误差为(0.1987),而标准近似的平均绝对误差为(0.8636)。
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