Yong Xu, Q. X. Liu, J. Liu
{"title":"A Fast Method for Solving the Bagley-Torvik Equation with Time Delay as Delay Differential Equations of Integer Order","authors":"Yong Xu, Q. X. Liu, J. Liu","doi":"10.2991/MASTA-19.2019.32","DOIUrl":null,"url":null,"abstract":"A method of solving the Bagley-Torvik equation with time delay has been presented in this article, which is based on the physical meaning of that equation and thus avoid the history dependence of it. The most important thing is that the fractional term of the Bagley-Torvik equation is transformed into a solution of a partial differential equation, which is then converted into a set of ordinary differential equations afterwards. An approximation of a boundary condition of the partial differential equations is used as a crucial point. Numerical results have indicated that the computational efficiency has improved significantly. We consider a numerical example with Hopf bifurcation caused by time delay of the Bagley-Torvik equation, which shows that the presented method is computationally more efficient than the predictor-corrector (PC) algorithm with the same time step length. Introduction Time delay is an unavoidable in the realistic mechanical systems. It often leads to stability switch, changing of the control performance and other complex dynamic behaviors [1-5]. On the other hand, the Bagley-Torvik equation is a mathematical model of viscoelastically damped structures with fractional derivative. Therefore, it is meaningful to study the Bagley-Torvik equation with time delay. Lots of analytical and numerical methods have been proposed since the model was proposed. Podlubny [6] studied the Bagley-Torvik equation both analytically and numerically in his book. Diethelm et al. [7-8] presented the predictor-corrector method (PC algorithm) to solve the equation and extend it to more general cases. Ray and Bera [9] used Adomian decomposition method to solve the equation. Çenesiz [10] et al. applied the generalized Taylor collocation method. Zolfaghari et al. [11] presented the homotopy perturbation method to solve the equation. Wang and Wang [12] used α-exponential functions. Haar wavelet method [13, 14] has been applied to solving the equation. Al-Mdallal [15] used a collocation-shooting method. Raja et al. [16] used a stochastic method. Yüzbaşı [17] used the Bessel collocation method. Atanackovic and Zorica [18] used an expansion formula for fractional derivative to solve the equation. Krishnasamy and Razzaghi [19] used Taylor vector approximation, while Gülsu et al. [20] used Taylor matrix method. And Arqub et al. [21] presented a kernel algorithm to solve the equation. Although some of the methods mentioned above can be extended to solving the Bagley-Torvik equation with time delay, there are still lots of problems in these methods, such as low computational efficiency. However, some studies on the physical meaning of the equation have provided us with a good deal of enlightenment. At first, Torvik and Bagley [5] have introduced the physical background of this equation. Fitt et al. [22] have also used it to deal with an engineering problem. Moreover, Xu et al. [23] have used it reversely to transform the Bagley-Torvik equation into ordinary differential equations. We extend their method to solve the equation with time delay by transform it into delay defferential equations (DDEs). International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019) Copyright © 2019, the Authors. Published by Atlantis Press. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/). Advances in Intelligent Systems Research, volume 168","PeriodicalId":103896,"journal":{"name":"Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2991/MASTA-19.2019.32","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
求解时滞为整数阶时滞微分方程的Bagley-Torvik方程的快速方法
本文提出了一种求解时滞Bagley-Torvik方程的方法,该方法基于该方程的物理意义,从而避免了该方程的历史依赖性。最重要的是Bagley-Torvik方程的分数项被转换成一个偏微分方程的解,然后再转换成一组常微分方程。偏微分方程的边界条件的近似是一个关键点。数值结果表明,该算法的计算效率得到了显著提高。以Bagley-Torvik方程的Hopf分岔为例,在相同的时间步长下,该方法的计算效率高于预测校正(PC)算法。时间延迟是现实机械系统中不可避免的问题。它经常导致稳定性切换、控制性能改变等复杂的动态行为[1-5]。另一方面,Bagley-Torvik方程是具有分数阶导数的粘弹性阻尼结构的数学模型。因此,研究具有时滞的Bagley-Torvik方程是有意义的。自该模型提出以来,已经提出了许多解析和数值方法。Podlubny[6]在他的书中对Bagley-Torvik方程进行了分析和数值研究。Diethelm等人[7-8]提出了预测校正方法(PC算法)来求解该方程,并将其推广到更一般的情况。Ray和Bera[9]采用Adomian分解法求解方程。Çenesiz[10]等采用了广义泰勒搭配法。Zolfaghari等[11]提出了同伦摄动法求解方程。Wang和Wang[12]采用α-指数函数。Haar小波法[13,14]已被用于求解该方程。Al-Mdallal[15]采用了搭配射击法。Raja等[16]采用随机方法。y zba[17]采用贝塞尔搭配法。Atanackovic和Zorica[18]采用分数阶导数展开公式求解方程。Krishnasamy和Razzaghi[19]采用泰勒向量近似法,g lsu等[20]采用泰勒矩阵法。Arqub等人[21]提出了一种求解方程的核算法。虽然上述的一些方法可以推广到求解时滞Bagley-Torvik方程,但是这些方法仍然存在很多问题,比如计算效率低。然而,一些关于方程物理意义的研究给我们提供了很多启示。首先,Torvik和Bagley[5]介绍了这个方程的物理背景。Fitt等人[22]也用它来处理一个工程问题。此外,Xu等人[23]将其反过来用于将Bagley-Torvik方程转化为常微分方程。通过将时滞方程转化为时滞微分方程(DDEs),将其推广到求解时滞方程。建模、分析、仿真技术与应用国际会议(MASTA 2019)版权所有©2019,作者。亚特兰蒂斯出版社出版。这是一篇基于CC BY-NC许可(http://creativecommons.org/licenses/by-nc/4.0/)的开放获取文章。智能系统研究进展,第168卷
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