The LDG Finite-Element Method for Multi-Order FDEs: Applications to Circuit Equations

The current research study presents a comprehensive analysis of the local discontinuous Galerkin (LDG) method for solving multi-order fractional differential equations (FDEs), with an emphasis on circuit modeling applications. We investigated the existence, uniqueness, and numerical stability of LDG-based discretized formulation, leveraging the Liouville–Caputo fractional derivative and upwind numerical fluxes to discretize governing equations while preserving stability. The method was validated through benchmark test cases, including comparisons with analytical solutions and established numerical techniques (e.g., Gegenbauer wavelets and Dickson collocation). The results demonstrate that the LDG method achieves high-accuracy solutions (e.g., with a relatively large time step size) and reduced computational costs, which are attributed to its element-wise formulation. These findings position LDG as a promising tool for complex scientific and engineering applications, particularly in modeling fractional-order systems such as RL, RLC circuits, and other electrical circuit equations.

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Publication Details

Journal
Fractal and Fractional
Published
2025-04-05
DOI
https://doi.org/10.3390/fractalfract9040230
Citations
9
Primary Topic
Electromagnetic Simulation and Numerical Methods
Type
article
Field-Weighted Citation Impact
6.57
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article

The LDG Finite-Element Method for Multi-Order FDEs: Applications to Circuit Equations

Mohammad Izadi, H. M. Srivastava, Mahdi Kamandar
9 citations
Fractal and Fractional
Electromagnetic Simulation and Numerical Methods
6.57
article

The LDG Finite-Element Method for Multi-Order FDEs: Applications to Circuit Equations

Mohammad Izadi, H. M. Srivastava, Mahdi Kamandar
article en
9 citations

Abstract

The current research study presents a comprehensive analysis of the local discontinuous Galerkin (LDG) method for solving multi-order fractional differential equations (FDEs), with an emphasis on circuit modeling applications. We investigated the existence, uniqueness, and numerical stability of LDG-based discretized formulation, leveraging the Liouville–Caputo fractional derivative and upwind numerical fluxes to discretize governing equations while preserving stability. The method was validated through benchmark test cases, including comparisons with analytical solutions and established numerical techniques (e.g., Gegenbauer wavelets and Dickson collocation). The results demonstrate that the LDG method achieves high-accuracy solutions (e.g., with a relatively large time step size) and reduced computational costs, which are attributed to its element-wise formulation. These findings position LDG as a promising tool for complex scientific and engineering applications, particularly in modeling fractional-order systems such as RL, RLC circuits, and other electrical circuit equations.

Fractal and FractionalVol. 9(4)
Shahid Bahonar University of Kerman (IR), Chung Yuan Christian University (TW), China Medical University (TW), University of Victoria (CA), Kyung Hee University (KR), China Medical University Hospital (TW), UniNettuno University (IT), Azerbaijan University (AZ)
Openalex Percentile: Top 3%
Electromagnetic Simulation and Numerical Methods
6.57
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