Applications of Atangana–baleanu fractional operators in modeling Memory-dependent physical and engineering systems

Authors

  • Namrata Pandey Research Scholar of Mathematics, Govt. Model Science College, A.P.S. University, Rewa, Madhya Pradesh Author
  • Dr. Neelam Pandey Professor of Mathematics, Govt. Model Science College, A.P.S. University, Rewa, Madhya Pradesh Author

DOI:

https://doi.org/10.29070/8q754d41

Keywords:

Atangana–Baleanu operators, memory-dependent systems, anomalous diffusion, fractional circuits, fractional epidemic models, fractional finance, numerical simulation

Abstract

Atangana-Baleanu fractional operators, with their non-singular and non-local Mittag-Leffler kernel, represent a powerful tool for modelling physical and engineering systems with memory for hereditary effect and anomalous transport behaviour. The research presented here surveys and develops example applications of the Atangana-Baleanu operator in a spectrum of domains, including physics, engineering, signal processing, biology, epidemiology and financial mathematics. The fractional heat conduction and anomalous diffusion problems were formulated with the AB-Caputo derivative and solved using generalised Laplace transform; the engineering applications were evidenced using the fractional RC circuit and viscoelastic constitutive equations; the signal processing applications were illustrated using fractional filtering and edge-preserving image processing operators; the biological applications were shown via the fractional population growth model and the artificial neural network model; the applications in epidemiology were illustrated by means of the fractional-based SIR model; and the applications in finance were illustrated with the fractional Black-Scholes model and the use of fractional arithmetic on time series sampled from stock market dynamics. Each model includes the governing AB fractional differential equation and either an analytical or semi-analytical solution, along with representative numerical schemes (finite-difference, predictor-corrector and Laplace-transform based) and their stability and error characteristics. A detailed comparative analysis indicates the advantages of the Atangana-Baleanu operator compared to the classical Riemann-Liouville, Caputo and Caputo-Fabrizio operators in all the application areas studied. The analysis also shows that the continuous, non-singular Mittag-Leffler kernel of the Atangana-Baleanu operator provides stable, precise and physically meaningful representations of dynamical systems that display memory dependency.

Downloads

Download data is not yet available.

References

1. Alkahtani, B. S. T. (2016). Chua's circuit model with Atangana–Baleanu derivative. Chaos, Solitons & Fractals, 89, 547–551.

2. Atangana, A., &Baleanu, D. (2016). New fractional derivatives with nonlocal and non-singular kernel: Theory and application to heat transfer model. Thermal Science, 20(2), 763–769.

3. Atangana, A., & Gómez-Aguilar, J. F. (2018). Fractional derivatives with no singular kernel applied to diffusion models. European Physical Journal Plus, 133(2), 1–13.

4. Atangana, A., Gómez-Aguilar, J. F., &Baleanu, D. (2018). Fractional calculus and its applications in engineering. Chaos, Solitons & Fractals, 117, 117–130.

5. Carpinteri, A., Cornetti, P., &Sapora, A. (2011). Fractional calculus in elasticity problems. European Physical Journal Special Topics, 193(1), 193–204.

6. Chen, W., Sun, H., Zhang, X., &Korosak, D. (2010). Anomalous diffusion modeling by fractional derivatives. Computers & Mathematics with Applications, 59(5), 1754–1758.

7. Chen, Y., Petráš, I., & Xue, D. (2009). Fractional order control—A tutorial. American Control Conference Proceedings, 1397–1411.

8. Diethelm, K., Ford, N. J., & Freed, A. D. (2002). Predictor–corrector approach for fractional differential equations. Nonlinear Dynamics, 29(1–4), 3–22.

9. Diethelm, K., Ford, N. J., & Freed, A. D. (2004). Detailed error analysis for a fractional Adams method. Numerical Algorithms, 36(1), 31–52.

10. Gao, F., Yang, X. J., &Baleanu, D. (2017). Fractional derivatives in heat conduction models. Thermal Science, 21(3), 1161–1171.

11. Hilfer, R. (2000). Applications of fractional calculus in physics. World Scientific.

12. Hilfer, R., & Luchko, Y. (2018). Desiderata for fractional derivatives and integrals. Mathematics, 6(9), 149.

13. Kai, D., & Wang, J. (2020). Numerical approximation for Atangana–Baleanu fractional equations. Applied Numerical Mathematics, 153, 1–15.

14. Khan, M. A., Ullah, S., & Farooq, M. (2020). Stability analysis of fractional epidemic models. Chaos, Solitons & Fractals, 131, 109479.

15. Kumar, D., Singh, J., &Baleanu, D. (2018). Numerical computation of fractional differential equations using Laplace transform methods. Mathematical Methods in the Applied Sciences, 41(7), 2763–2776.

16. Machado, J. A. T., & Mata, M. E. (2015). Fractional dynamics and entropy concepts. Entropy, 17(10), 6982–7002.

17. Magin, R. L. (2006). Fractional calculus in bioengineering. Begell House Publishers.

18. Mainardi, F. (2010). Fractional calculus and waves in linear viscoelasticity. Imperial College Press.

19. Mainardi, F., Gorenflo, R., &Scalas, E. (2004). Fractional calculus and continuous-time finance. Physica A, 287(3–4), 468–481.

20. Metzler, R., & Klafter, J. (2000). Random walk's guide to anomalous diffusion. Physics Reports, 339(1), 1–77.

21. Momani, S., &Odibat, Z. (2008). Numerical comparison of methods for solving fractional differential equations. Chaos, Solitons & Fractals, 31(5), 1248–1255.

22. Owolabi, K. M. (2019). Numerical methods for fractional differential equations with applications. Chaos, Solitons & Fractals, 125, 52–63.

23. Podlubny, I. (1999). Fractional differential equations. Academic Press.

24. Ponce, R., & Gómez-Aguilar, J. F. (2020). Fractional electrical circuit models with Mittag–Leffler kernels. Mathematics, 8(3), 1–18.

25. Rahimy, M. (2010). Applications of fractional differential equations in biological systems. Applied Mathematical Sciences, 4(49), 2453–2461.

26. Rossikhin, Y. A., &Shitikova, M. V. (2010). Applications of fractional calculus to dynamic problems of linear and nonlinear hereditary mechanics. Applied Mechanics Reviews, 63(1), 1–52.

27. Sun, H., Zhang, Y., Baleanu, D., Chen, W., & Chen, Y. (2018). A new collection of real world applications of fractional calculus in science and engineering. Communications in Nonlinear Science and Numerical Simulation, 64, 213–231.

28. Tarasov, V. E. (2019). Applications of fractional calculus to dynamics of particles, fields and media. Springer.

Downloads

Published

2026-06-01