Abstract
This paper comprehensively studies effective numerical methods for solving the simplest chaotic circuit model. We introduce a novel scheme for the Atangana–Baleanu Caputo fractional derivative (ABC-FD), coupled with the Laplace decomposition method (LDM). Furthermore, we rigorously compare the performance of these proposed methods with the Runge–Kutta fourth-order method. Using two mathematical techniques, we have discovered effective and highly convergent solutions to the chaotic model. We gave different values to the parameters to plot the chaos and create a phase portrait of the system. Therefore, the provided methods can be applied to more sophisticated examinations of different models. This study advances numerical techniques for understanding chaotic dynamics in complex systems. By introducing a novel scheme for the Atangana–Baleanu Caputo fractional derivative and the Laplace decomposition method, we provide a robust framework for effectively solving the simplest chaotic circuit model. This framework enhances accuracy and efficiency in unraveling chaotic behaviors, contributing to a broader understanding of chaotic dynamics across scientific domains in the future.
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Acknowledgements
The authors would like to extend their sincere appreciation to the Researchers Supporting Project number (RSPD2023R920), King Saud University, Saudi Arabia.
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The Researchers Supporting Project Number (RSPD2023R920), King Saud University, Saudi Arabia.
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Author Contributions: Conceptualization: RS, MA, ME and AQ, methodology: AA, RS, MB and AQ, software: AA, RS, MB and AQ, formal analysis: RS, MA, MB and AQ, investigation: MA, ME, MB & AQ, resources: AA, RS, ME, MB, data curation AA, ME, MB and AQ, writing—original draft preparation: AA, RS and AQ, writing—review and editing: AA, RS, MA, ME, MB, and AQ. All authors reviewed the manuscript.
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Alzahrani, A.B.M., Saadeh, R., Abdoon, M.A. et al. Effective methods for numerical analysis of the simplest chaotic circuit model with Atangana–Baleanu Caputo fractional derivative. J Eng Math 144, 9 (2024). https://doi.org/10.1007/s10665-023-10319-x
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DOI: https://doi.org/10.1007/s10665-023-10319-x