Chinese Journal of Ship Research, Volume. 20, Issue 1, 58(2025)

Adaptive online modeling of ship maneuvering motion based on error monitoring

Yaohui YU, Suyang LIU, Zihao WANG, Wenbo XIE, and Yan PENG
Author Affiliations
  • Institute of Artificial Intelligence, Shanghai University, Shanghai 200444, China
  • show less
    References(16)

    [1] WU B H, LI G Y, ZHAO L M et al. Navigating patterns analysis for onboard guidance support in crossing collision-avoidance operations[J]. IEEE Intelligent Transportation Systems Magazine, 14, 62-77(2021).

    [18] WANG T T, LI G Y, WU B H et al. Parameter identification of ship manoeuvring model under disturbance using support vector machine method[J]. Ships and Offshore Structures, 16, 13-21(2021).

    [19] [19] YU Y H, WANG Z H, QU D, et al. Online modeling of ship maneuvering motion with varying loading conditions[C]ASME 2023 42nd International Conference on Offshe Mechanics Arctic Engineering. Melbourne, Australia: American Society of Mechanical Engineers, 2023, 86878: V005T06A047.

    Tools

    Get Citation

    Copy Citation Text

    Yaohui YU, Suyang LIU, Zihao WANG, Wenbo XIE, Yan PENG. Adaptive online modeling of ship maneuvering motion based on error monitoring[J]. Chinese Journal of Ship Research, 2025, 20(1): 58

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Maneuverability Forecast

    Received: Jun. 22, 2024

    Accepted: --

    Published Online: Mar. 13, 2025

    The Author Email:

    DOI:10.19693/j.issn.1673-3185.04019

    Topics