Chinese Journal of Ship Research, Volume. 19, Issue 1, 137(2024)

Adaptive control of unmanned surface vehicle based on improved DDPG algorithm

Lifei SONG1,2, Chuanyi XU1,2, Le HAO1,2, Rong GUO1,2, and Wei CHAI1,2
Author Affiliations
  • 1Key Laboratory of High Performance Ship Technology of Ministry of Education, Wuhan University of Technology, Wuhan 430063, China
  • 2School of Naval Architecture, Ocean and Energy Power Engineering, Wuhan University of Technology, Wuhan 430063, China
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    References(9)

    [3] [3] LIU Z Q, YU L W, XIANG Q, et al. Research on USV trajecty tracking method based on LOS algithm[C]Proceedings of the 14th International Symposium on Computational Intelligence Design (ISCID). Hangzhou, China: IEEE, 2021.

    [6] [6] DAOUN D, IBNAT F, ALOM Z, et al. Reinfcement learning: a friendly introduction[C]The International Conference on Deep Learning, Big Data Blockchain. Cham: Springer, 2021: 134−146.

    [9] [9] DENG W N, LI H, WEN Y Q. Datadriven unmanned surface vessel path following control method based on reinfcement learning[C]2019 Chinese Control Decision Conference (CCDC). Nanchang, China: IEEE, 2019: 3035−3040.

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    Lifei SONG, Chuanyi XU, Le HAO, Rong GUO, Wei CHAI. Adaptive control of unmanned surface vehicle based on improved DDPG algorithm[J]. Chinese Journal of Ship Research, 2024, 19(1): 137

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    Paper Information

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    Received: Oct. 11, 2022

    Accepted: --

    Published Online: Mar. 18, 2025

    The Author Email:

    DOI:10.19693/j.issn.1673-3185.03122

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