Approximate solution of the fuzzy fractional Bagley-Torvik equation by the RBF collocation method

Document Type : Research Paper

Authors

1 Department of Mathematics, Faculty of Mathematics Science and Statistics, Malayer University, Malayer 65719-95863, Iran

2 Department of Computer Engineering and Information Technology, Hamedan University of Technology, Hamedan 65155-579, Iran

Abstract

In this paper, we propose the spectral collocation method based on radial basis functions to solve the fractional Bagley-Torvik equation under uncertainty, in the fuzzy Caputo's H-differentiability sense with order ($1< \nu < 2$). We define the fuzzy Caputo's H-differentiability sense with order $\nu$ ($1< \nu < 2$), and employ the collocation RBF method for upper and lower approximate solutions. The main advantage of this approach is that the fuzzy fractional Bagley-Torvik equation is reduced to the problem of solving two systems of linear equations. Determining a good shape parameter is still an outstanding research topic. To eliminate the effects of the radial basis function shape parameter, we use thin plate spline radial basis functions which have no shape parameter. The numerical investigation is presented in this paper shows that excellent accuracy can be obtained even when few nodes are used in analysis. Efficiency and effectiveness of the proposed procedure is examined by solving two benchmark problems.

Keywords

Computational Methods for Differential Equations
Volume 6, Issue 2
April 2018
Pages 186-214

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History

  • Receive Date: 09 February 2017
  • Revise Date: 15 August 2017
  • Accept Date: 26 February 2018

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