Fractional Operators for Nonlinear Electrical Circuits

Abstract This article introduces two new fractional operators with sine and cosine kernels, motivated by the fundamental role of oscillatory signals in electrical engineering and nonlinear electrical circuits. The proposed operators are defined through convolution-type integrals with non-singular trigonometric kernels and admit closed-form Laplace transform representations, enabling direct analytical treatment. Their basic properties are established and their behavior is illustrated through representative examples, including comparisons with the classical Caputo fractional derivative. As an application, a simple memristor model under oscillatory excitation is considered to demonstrate the modeling implications of the proposed operators. In particular, it is shown that the sine-kernel operator yields an exact linear reformulation of the nonlinear memristor model valid for all $$t \ge 0$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>t</mml:mi> <mml:mo>≥</mml:mo> <mml:mn>0</mml:mn> </mml:mrow> </mml:math> , whereas the Caputo-based formulation leads only to locally valid representations. The results highlight the potential of trigonometric-kernel fractional operators for modeling oscillatory systems with memory effects.

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Publication Details

Journal
Circuits Systems and Signal Processing
Published
2026-03-22
DOI
https://doi.org/10.1007/s00034-026-03553-y
Primary Topic
Neural Networks Stability and Synchronization
Type
article
Field-Weighted Citation Impact
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article

Fractional Operators for Nonlinear Electrical Circuits

Ioannis Dassios
Circuits Systems and Signal Processing
Neural Networks Stability and Synchronization
article

Fractional Operators for Nonlinear Electrical Circuits

Ioannis Dassios
article en

Abstract

Abstract This article introduces two new fractional operators with sine and cosine kernels, motivated by the fundamental role of oscillatory signals in electrical engineering and nonlinear electrical circuits. The proposed operators are defined through convolution-type integrals with non-singular trigonometric kernels and admit closed-form Laplace transform representations, enabling direct analytical treatment. Their basic properties are established and their behavior is illustrated through representative examples, including comparisons with the classical Caputo fractional derivative. As an application, a simple memristor model under oscillatory excitation is considered to demonstrate the modeling implications of the proposed operators. In particular, it is shown that the sine-kernel operator yields an exact linear reformulation of the nonlinear memristor model valid for all $$t \ge 0$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>t</mml:mi> <mml:mo>≥</mml:mo> <mml:mn>0</mml:mn> </mml:mrow> </mml:math> , whereas the Caputo-based formulation leads only to locally valid representations. The results highlight the potential of trigonometric-kernel fractional operators for modeling oscillatory systems with memory effects.

Circuits Systems and Signal Processing
Aristotle University of Thessaloniki (GR)
Openalex Percentile: Top 13%
Neural Networks Stability and Synchronization
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Fractional Operators for Nonlinear Electrical Circuits — Ioannis Dassios · Circuits Systems and Signal Processing (2026) | TGRS Research Map | TGRS