IDEAS home Printed from https://ideas.repec.org/a/eee/matcom/v250y2026icp246-259.html

Algorithmic design of n-dimensional multifold system via cyclic fractal process

Author

Listed:
  • Yang, Yan
  • Yang, Jing
  • Marwan, Muhammad
  • Cui, Mengkai
  • Wang, Ning
  • Bao, Han
  • Xu, Quan

Abstract

The generation of folded trajectories for simple chaotic and hyperchaotic systems can produce complicated multiscroll or multiwing attractors, which have shown specific industrial applications. Although various methods have been reported, rare of them have wide applicability in different types of higher-dimensional systems. To address this issue, this paper presents a universal computer-aided algorithmic design for automatic generation of chaotic and hyperchaotic multifold system from simple seed system with a dimension greater than or equals to three. Specifically, a universal cyclic fractal algorithm based on Julia transformation is presented. By selecting chaotic and hyperchaotic systems as the seeds, the application of the algorithm has automatically yielded corresponding multifold systems with complicated folding trajectories. In comparison with existing methods, significant novelty of the algorithmic design is that neither extra dimension nor excitation was introduced to the seed system. We have presented various numerical demonstrations to show the generation of different numbers of fold from different systems. Finally, the hardware experiment is presented for verification and laying the groundwork for potential engineering applications.

Suggested Citation

  • Yang, Yan & Yang, Jing & Marwan, Muhammad & Cui, Mengkai & Wang, Ning & Bao, Han & Xu, Quan, 2026. "Algorithmic design of n-dimensional multifold system via cyclic fractal process," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 250(C), pages 246-259.
  • Handle: RePEc:eee:matcom:v:250:y:2026:i:c:p:246-259
    DOI: 10.1016/j.matcom.2026.06.030
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378475426002740
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.matcom.2026.06.030?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:matcom:v:250:y:2026:i:c:p:246-259. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/mathematics-and-computers-in-simulation/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.