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An optimized MATLAB tool for efficient evaluation of fractional-order differential equations of time-varying orders

机译:优化的MATLAB工具,用于高效评估时变订单的分数级微分方程

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A usage and benchmarks for a new proposed MATLAB tool for efficient evaluation of fractional-order backward differences, sums, differintegrals, and fractional-order differential equations (FODE) are presented in this paper. The tool also supports solving the generalized differential equations formulated with the time-varying fractional orders (VFODE), commonly employed, e.g., in the algorithm of a variable fractional-order PID controller. Optimized C language implementation overpasses other existing popular solutions written mostly in MATLAB scripting language in terms of the computation time. Comparative performance with the FOTF toolbox has been conducted in this paper analyzing the Grünwald-Letnikov-related numerical methods for three example tasks, essential in the modeling and simulation of fractional-order control systems. These are: obtaining values of binomial coefficients (oblivion function); calculating a fractional-order derivative (FOD); solving a fractional-order differential equation (closed-form). A significant increase in performance starting from 70 % up to 90 % was obtained. Software and binaries described in the paper are available at the referred repository.
机译:本文提出了一种用于高效评估分数阶反向差异,总和,区别和分数级微分方程(相级级差分方程(FODE)的新提出的MATLAB工具的使用和基准。该工具还支持求解与时变分数(VFODE)配制的广义微分方程,通常用于例如在可变分数级PID控制器的算法中。优化的C语言实现在计算时间方面跨越Matlab脚本语言主要写入的其他现有流行解决方案。本文进行了对比较性能,在本文中进行了三个示例任务的Grünwald-letnikov相关数字方法,在分数阶控制系统的建模和仿真中必不可少。这些是:获得二项式系数的值(遗忘功能);计算分数阶衍生物(FOD);求解分数级微分方程(闭合形式)。从70%开始的性能显着增加,最高可达90%。纸张中描述的软件和二进制文件可在参考存储库中获得。

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