Numerical investigation of fractional order chaotic systems using a new modified Runge-Kutta method

被引:2
|
作者
Lekshmi, A. Sai [1 ]
Balakumar, V [1 ]
机构
[1] Natl Inst Technol Puducherry, Dept Math, Karaikal 609, India
关键词
fractional differential equations; Caputo derivative; fractional order chaotic system; Runge-Kutta method; SYNCHRONIZATION; APPROXIMATION;
D O I
10.1088/1402-4896/ad72b6
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
This article introduces a new modified two-stage fractional Runge-Kutta method for solving fractional order dynamical systems. The non-integer order derivative is considered in the Caputo sense, as it reliably captures the physical nature of the systems. A comprehensive mathematical analysis is performed, covering aspects such as consistency, convergence and error bound. The method's effectiveness is validated by comparing it with existing methods in the literature for solving linear and nonlinear fractional initial value problems. The proposed method is then utilized to investigate a wide range of commensurate fractional order continuous systems demonstrating chaotic behavior, with their phase diagrams illustrated. Parametric configurations and fractional orders for which specific fractional attractors either exhibit or lack chaotic behavior is also examined. The computation Lyapunov exponents and 0-1 test have been performed to elucidate the dynamic behaviors of the analyzed fractional order systems.
引用
收藏
页数:26
相关论文
共 50 条
  • [1] Fractional Order Runge-Kutta Methods
    Ghoreishi, Farideh
    Ghaffari, Rezvan
    Saad, Nasser
    FRACTAL AND FRACTIONAL, 2023, 7 (03)
  • [2] Coherent Chaotic Communication Using Generalized Runge-Kutta Method
    Babkin, Ivan
    Rybin, Vyacheslav
    Andreev, Valery
    Karimov, Timur
    Butusov, Denis
    MATHEMATICS, 2024, 12 (07)
  • [3] Numerical solution of fuzzy differential equations of nth-order by Runge-Kutta method
    Parandin, Nouredin
    NEURAL COMPUTING & APPLICATIONS, 2012, 21 : S347 - S355
  • [4] Numerical solution of n-order fuzzy differential equations by Runge-Kutta method
    Abbasbandy S.
    Allahviranloo T.
    Darabi P.
    Mathematical and Computational Applications, 2011, 16 (04) : 935 - 946
  • [5] Numerical simulation using Runge-Kutta method for the system with uncertain discontinuous change
    Koga, M
    Tanimura, N
    Sato, T
    SICE 2002: PROCEEDINGS OF THE 41ST SICE ANNUAL CONFERENCE, VOLS 1-5, 2002, : 2749 - 2753
  • [6] Using Runge-Kutta method for numerical solution of the system of Volterra integral equation
    Maleknejad, K
    Shahrezaee, M
    APPLIED MATHEMATICS AND COMPUTATION, 2004, 149 (02) : 399 - 410
  • [7] Higher order Runge-Kutta methods for impulsive differential systems
    Baier, R.
    Din, Q.
    Donchev, T.
    APPLIED MATHEMATICS AND COMPUTATION, 2012, 218 (24) : 11790 - 11798
  • [8] Numerical Solution of Fuzzy Differential Equations of 2nd-Order by Runge-Kutta Method
    Parandin, N.
    JOURNAL OF MATHEMATICAL EXTENSION, 2013, 7 (03) : 47 - 62
  • [9] A fourth order Runge-Kutta method based on the Heronian mean formula
    Evans, DJ
    Yaacob, N
    INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS, 1995, 58 (1-2) : 103 - 115
  • [10] Strong-order conditions of Runge-Kutta method for stochastic optimal control problems
    Yilmaz, Fikriye
    Bakan, Hacer Oz
    Weber, Gerhard-Wilhelm
    APPLIED NUMERICAL MATHEMATICS, 2020, 157 : 470 - 489