中国物理B ›› 2024, Vol. 33 ›› Issue (3): 30503-030503.doi: 10.1088/1674-1056/ad1a93

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A novel variable-order fractional chaotic map and its dynamics

Zhouqing Tang(唐周青)1, Shaobo He(贺少波)2, Huihai Wang(王会海)1,†, Kehui Sun(孙克辉)3, Zhao Yao(姚昭)3, and Xianming Wu(吴先明)4   

  1. 1 School of Electronic Information, Central South University, Changsha 410083, China;
    2 School of Automation and Electronic Information, Xiangtan University, Xiangtan 411105, China;
    3 School of Physics, Central South University, Changsha 410083, China;
    4 School of Mechanical and Electrical Engineering, Guizhou Normal University, Guiyang 550025, China
  • 收稿日期:2023-11-21 修回日期:2023-12-27 接受日期:2024-01-04 出版日期:2024-02-22 发布日期:2024-02-29
  • 通讯作者: Huihai Wang E-mail:wanghuihai_csu@csu.edu.cn
  • 基金资助:
    Project supported by the National Natural Science Foundation of China (Grant Nos. 62071496, 61901530, and 62061008) and the Natural Science Foundation of Hunan Province of China (Grant No. 2020JJ5767).

A novel variable-order fractional chaotic map and its dynamics

Zhouqing Tang(唐周青)1, Shaobo He(贺少波)2, Huihai Wang(王会海)1,†, Kehui Sun(孙克辉)3, Zhao Yao(姚昭)3, and Xianming Wu(吴先明)4   

  1. 1 School of Electronic Information, Central South University, Changsha 410083, China;
    2 School of Automation and Electronic Information, Xiangtan University, Xiangtan 411105, China;
    3 School of Physics, Central South University, Changsha 410083, China;
    4 School of Mechanical and Electrical Engineering, Guizhou Normal University, Guiyang 550025, China
  • Received:2023-11-21 Revised:2023-12-27 Accepted:2024-01-04 Online:2024-02-22 Published:2024-02-29
  • Contact: Huihai Wang E-mail:wanghuihai_csu@csu.edu.cn
  • Supported by:
    Project supported by the National Natural Science Foundation of China (Grant Nos. 62071496, 61901530, and 62061008) and the Natural Science Foundation of Hunan Province of China (Grant No. 2020JJ5767).

摘要: In recent years, fractional-order chaotic maps have been paid more attention in publications because of the memory effect. This paper presents a novel variable-order fractional sine map (VFSM) based on the discrete fractional calculus. Specially, the order is defined as an iterative function that incorporates the current state of the system. By analyzing phase diagrams, time sequences, bifurcations, Lyapunov exponents and fuzzy entropy complexity, the dynamics of the proposed map are investigated comparing with the constant-order fractional sine map. The results reveal that the variable order has a good effect on improving the chaotic performance, and it enlarges the range of available parameter values as well as reduces non-chaotic windows. Multiple coexisting attractors also enrich the dynamics of VFSM and prove its sensitivity to initial values. Moreover, the sequence generated by the proposed map passes the statistical test for pseudorandom number and shows strong robustness to parameter estimation, which proves the potential applications in the field of information security.

关键词: chaos, fractional difference, variable order, multistability, complexity

Abstract: In recent years, fractional-order chaotic maps have been paid more attention in publications because of the memory effect. This paper presents a novel variable-order fractional sine map (VFSM) based on the discrete fractional calculus. Specially, the order is defined as an iterative function that incorporates the current state of the system. By analyzing phase diagrams, time sequences, bifurcations, Lyapunov exponents and fuzzy entropy complexity, the dynamics of the proposed map are investigated comparing with the constant-order fractional sine map. The results reveal that the variable order has a good effect on improving the chaotic performance, and it enlarges the range of available parameter values as well as reduces non-chaotic windows. Multiple coexisting attractors also enrich the dynamics of VFSM and prove its sensitivity to initial values. Moreover, the sequence generated by the proposed map passes the statistical test for pseudorandom number and shows strong robustness to parameter estimation, which proves the potential applications in the field of information security.

Key words: chaos, fractional difference, variable order, multistability, complexity

中图分类号:  (Low-dimensional chaos)

  • 05.45.Ac
05.45.Pq (Numerical simulations of chaotic systems) 05.45.Tp (Time series analysis)