Bifurcation analysis of a birhythmic vibroimpact oscillator with two kinds of fractional derivative elements subjected to Gaussian white noise excitation

This paper explores the stochastic bifurcations of a birhythmic vibroimpact oscillator incorporating two types of fractional derivative elements under Gaussian white noise excitation. The analysis begins with a nonsmooth coordinate transformation of the state variables, followed by the application of the stochastic averaging method to derive analytical solutions. To validate the proposed approach, numerical simulations based on the Monte Carlo method are conducted, demonstrating excellent agreement with the analytical predictions. A key finding of this study is that the fractional orders, fractional coefficients, and restitution coefficient play a significant role in triggering stochastic P bifurcations within the system.

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Publication Details

Journal
Physical review. E
Published
2025-09-17
DOI
https://doi.org/10.1103/jltq-f1mw
Citations
1
Primary Topic
Fractional Differential Equations Solutions
Type
article
Field-Weighted Citation Impact
1.37
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article

Bifurcation analysis of a birhythmic vibroimpact oscillator with two kinds of fractional derivative elements subjected to Gaussian white noise excitation

R. Mbakob Yonkeu, Boris Anicet Guimfack, Timoléon Crépin Kofané, Conrad Bertrand Tabi
1 citations
Physical review. E
Fractional Differential Equations Solutions
1.37
article

Bifurcation analysis of a birhythmic vibroimpact oscillator with two kinds of fractional derivative elements subjected to Gaussian white noise excitation

R. Mbakob Yonkeu, Boris Anicet Guimfack, Timoléon Crépin Kofané, Conrad Bertrand Tabi
article en
1 citations

Abstract

This paper explores the stochastic bifurcations of a birhythmic vibroimpact oscillator incorporating two types of fractional derivative elements under Gaussian white noise excitation. The analysis begins with a nonsmooth coordinate transformation of the state variables, followed by the application of the stochastic averaging method to derive analytical solutions. To validate the proposed approach, numerical simulations based on the Monte Carlo method are conducted, demonstrating excellent agreement with the analytical predictions. A key finding of this study is that the fractional orders, fractional coefficients, and restitution coefficient play a significant role in triggering stochastic P bifurcations within the system.

Physical review. EVol. 112(3)
Université de Yaoundé I (CM), Botswana International University of Science and Technology (BW), University of Bamenda (CM)
Openalex Percentile: Top 17%
Fractional Differential Equations Solutions
1.37
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