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May 30, 20260 citationsOpen Access

Numerical solutions of fractional optimal control problems based on RBF methods

ZGZahra Vahedi GandomaniMMMahmoud MahmoudiMGMehrzad Ghorbani

Key Points

  • This study aims to provide a numerical method for solving fractional optimal control problems using Radial Basis Functions.
  • Derived necessary optimality conditions as fractional differential equations.
  • Solved a system of algebraic equations to find approximate solutions.
  • Used Caputo fractional derivative in the analysis.
  • Demonstrated effectiveness of the RBF-based method through several examples.
  • Showed improved accuracy of numerical solutions compared to existing methods.

Abstract

This study presents a numerical method based on Radial Basis Functions (RBFs) for solving a class of fractional optimal control problems. First, the necessary optimality conditions are derived in the form of a system of two fractional differential equations. Then, by solving an associated system of algebraic equations, an approximate solution to the problem is obtained. The fractional derivative considered in this study is the Caputo fractional derivative. Several examples are provided to demonstrate the effectiveness of the proposed method and to compare the accuracy of the resulting numerical solutions.

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Cite This Study

Gandomani et al. (2026) studied this question.

synapsesocial.com/papers/6a1a7fef0307b785094321eehttps://doi.org/10.30511/mcs.2026.2070811.1462
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