2020
DOI: 10.3934/dcdss.2020031
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A novel predictor-corrector scheme for solving variable-order fractional delay differential equations involving operators with Mittag-Leffler kernel

Abstract: In this work we present a numerical method based on the Adams-Bashforth-Moulton scheme to solve numerically fractional delay differential equations. We focus in the fractional derivative with Mittag-Leffler kernel of type Liouville-Caputo with variable-order and the Liouville-Caputo fractional derivative with variable-order. Numerical examples are presented to show the applicability and efficiency of this novel method.

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Cited by 9 publications
(9 citation statements)
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“…Using property (P 2 ) of the Green's function W(t, s) given in Lemma 2 and inequality (16) in inequality (15), we obtain…”
Section: Lemmamentioning
confidence: 99%
See 1 more Smart Citation
“…Using property (P 2 ) of the Green's function W(t, s) given in Lemma 2 and inequality (16) in inequality (15), we obtain…”
Section: Lemmamentioning
confidence: 99%
“…On the other hand, the area devoted to establishing a procedure for numerical solutions has been investigated very well. See [15][16][17][18] and the references therein.…”
Section: Introductionmentioning
confidence: 99%
“…Other approaches to solving fractional differential equations are the numerical method based on the Adams-Bashforth-Moulton scheme, the Lagrange polynomial interpolation or the homotopy perturbation transform [65,66,42,30,41]. In these papers, the authors show how to solve variable-order fractional systems, so that variable-order Mittag-Leffler observers can be proposed intuitively.…”
Section: Review Of Numerical Aspectsmentioning
confidence: 99%
“…In [14,15], authors derived numerical approaches for the numerical integration of FDEs, which are a generalization of many known methods in the literature, such as the Adams-Bashforth approach. Adams-Bashforth methods were implemented to solve nonlinear FDDEs [16,17]. In addition, Daftardar-Gejji et al recently introduced the predictor-corrector method for solving FDEs [18].…”
Section: Introductionmentioning
confidence: 99%