Chinese Journal of Ship Research, Volume. 19, Issue 6, 219(2024)

Attitude control of catamaran based on deep reinforcement learning

Leihong QIN, Songtao ZHANG, Xiaofeng NAN, and Qiming ZHONG
Author Affiliations
  • College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin 150001, China
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    References(10)

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    [2] [2] LIANG L H, JIANG J L, ZHANG S T. Improving the vertical motion of wave piercing catamaran using Tfoil[C]Proceedings of 2013 IEEE International Conference on Mechatronics Automation. Takamatsu: IEEE, 2013: 14811485.

    [3] [3] ZHENG L H, LIU Z L, LI G S, et al. Experimental numerical investigation on control strategies f heave pitch motion reduction of a catamaran[J]. Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering f the Maritime Environment, 2021, 235(2): 311326.

    [5] FRANÇOIS-LAVET V, HENDERSON P, ISLAM R et al. An introduction to deep reinforcement learning[J]. Foundations and Trends in Machine Learning, 11, 219-354(2018).

    [6] KIRAN B R, SOBH I, TALPAERT V et al. Deep reinforcement learning for autonomous driving: a survey[J]. IEEE Transactions on Intelligent Transportation Systems, 23, 4909-4926(2021).

    [7] [7] LILLICRAP T P, HUNT J J, PRITZEL A, et al. Continuous control with deep reinfcement learning[C]Proceedings of the 4th International Conference on Learning Representations. San Juan:[s.n.], 2016: 150902971.

    [8] [8] VAN DER SCHAAF J. Using reinfcement learning to control hydrofoils[D]. Enschede: University of Twente, 2022.

    [14] [14] LLOYD A R J M. Seakeeping: ship behaviour in rough weather[M]. Chichester: Ellis Hwood Ltd, 1989.

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    Leihong QIN, Songtao ZHANG, Xiaofeng NAN, Qiming ZHONG. Attitude control of catamaran based on deep reinforcement learning[J]. Chinese Journal of Ship Research, 2024, 19(6): 219

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    Paper Information

    Category: Ship Design and Performance

    Received: Aug. 3, 2023

    Accepted: --

    Published Online: Mar. 14, 2025

    The Author Email:

    DOI:10.19693/j.issn.1673-3185.03492

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