Variable-order fractional calculus, chaotic systems, numerical methods, fractional derivatives, nonlinear dynamics

Authors

  • Ghadah Alhawael Department of Basic Sciences, Common First Year Deanship, King Saud University, P.O.Box 145111, Riyadh 11362, Saudi Arabia.

DOI:

https://doi.org/10.15849/ijasca.v18i2.111

Keywords:

variable-order fractional calculus, chaotic systems, numerical methods, fractional derivatives, nonlinear dynamics

Abstract

    Recently, the V-O-F fractional differential operators have become quite popular for modelling nonlinear dynamical systems with hereditary effects and memory features. However, the V-O-F operator is more suitable for nonlinear dynamical systems with chaotic properties, even though the integer-order derivative operator is a great method for comprehending the behavior of some ordinary differential equations. Here, we present a generalized numerical method to simulate the solution of a broad class of V-O-F differential equations, based on the theorem of fractional calculus and Lagrange interpolation polynomials. The technique may effectively take into account various kernels, including the Atangana-Baleanu-Caputo kernel, the Caputo kernel, and the Caputo-Fabrizio kernel. We use our suggested numerical method to simulate the dynamics of nonlinear chaotic models, specifically a circuit model and a time-varying financial system model.

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Published

2026-06-22

How to Cite

Alhawael, G. (2026). Variable-order fractional calculus, chaotic systems, numerical methods, fractional derivatives, nonlinear dynamics. International Journal of Advances in Soft Computing and Its Applications, 18(2), 203–227. https://doi.org/10.15849/ijasca.v18i2.111

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