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May 28, 2026Results in Control and Optimization0 citationsOpen Access

Runge–Kutta method for solving uncertain fractional differential equations

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KYKeying YangZLZhi LiLXLiping Xu

Key Points

  • The aim is to develop a numerical method to solve Caputo-type uncertain fractional differential equations using the Runge-Kutta method.
  • Developed a new numerical method based on the fractional order Runge-Kutta 4-step method.
  • Transformed UFDEs into fractional differential equations using the alpha-path approach.
  • Conducted numerical experiments to validate the effectiveness and accuracy under typical conditions.
  • Numerical experiments show significant accuracy improvements in approximating UFDE solutions.
  • The proposed method effectively calculates the expected value of monotonic functions from UFDE solutions.

Abstract

In this paper, a new numerical method for solving Caputo-type uncertain fractional differential equations (UFDEs) is designed based on the fractional order Runge–Kutta 4-step method. The UFDEs are transformed into corresponding fractional differential equations via the α -path approach, and the numerical approximate solutions are obtained by traversing different α -paths using the fractional order Runge–Kutta 4-step method. Furthermore, a formula for calculating the expected value of monotonic functions of UFDE solutions is derived based on the inverse uncertainty distribution extracted from α -paths. Finally, several numerical experiments are conducted to demonstrate the effectiveness and accuracy of the proposed method under typical conditions, while acknowledging the aforementioned dependencies.

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Cite This Study

Yang et al. (2026) studied this question.

synapsesocial.com/papers/6a17daf83fad632b0f9d7caahttps://doi.org/10.1016/j.rico.2026.100741
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