IDEAS home Printed from https://ideas.repec.org/a/wsi/fracta/v29y2021i08ns0218348x21400399.html
   My bibliography  Save this article

Multi-Auv Dynamic Maneuver Decision-Making Based On Intuitionistic Fuzzy Counter-Game And Fractional-Order Particle Swarm Optimization

Author

Listed:
  • LU LIU

    (Research & Development Institute of Northwestern Polytechnical University, Shenzhen 518057, P. R. China2School of Marine Science and Technology Northwestern, Polytechnical University, Xi’an 710072, P. R. China)

  • SHUO ZHANG

    (School of Mathematics and Statistics, Northwestern Polytechnical University, Xi’an 710072, P. R. China)

  • LICHUAN ZHANG

    (School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, P. R. China)

  • GUANG PAN

    (School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, P. R. China)

  • CHUNMEI BAI

    (School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, P. R. China)

Abstract

In this paper, a multi-AUV dynamic maneuver decision-making algorithm is studied based on intuitionistic fuzzy game and fractional-order Particle Swarm Optimization (PSO). Because of the weak communication condition and complex marine environment, a maneuver decision-making algorithm is usually hard to realize in real-time multi-AUV couter-game process. First, the weak communication condition is analyzed according to sonar and other equipment characteristics. Then, the multi-AUV maneuver attributes evaluation and maneuver decision-making modeling are investigated under the obtained weak communication constraints. Subsequently, a fractional-order PSO optimization method is proposed to solve the strategy optimization problem of multi-AUV maneuver decision-making process. At last, an example is presented to verify the effectiveness and superiority of the obtained algorithm.

Suggested Citation

  • Lu Liu & Shuo Zhang & Lichuan Zhang & Guang Pan & Chunmei Bai, 2021. "Multi-Auv Dynamic Maneuver Decision-Making Based On Intuitionistic Fuzzy Counter-Game And Fractional-Order Particle Swarm Optimization," FRACTALS (fractals), World Scientific Publishing Co. Pte. Ltd., vol. 29(08), pages 1-13, December.
    • Handle: RePEc:wsi:fracta:v:29:y:2021:i:08:n:s0218348x21400399
    DOI: 10.1142/S0218348X21400399
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0218348X21400399
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1142/S0218348X21400399?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 search for a different version of it.

    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:wsi:fracta:v:29:y:2021:i:08:n:s0218348x21400399. 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: Tai Tone Lim (email available below). General contact details of provider: https://www.worldscientific.com/worldscinet/fractals .

    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.