Adaptive control of unmanned surface vehicle based on improved DDPG algorithm

Adaptive control of unmanned surface vehicle based on improved DDPG algorithm

ObjectiveIn order to tackle the issue of the poor navigation stability of unmanned surface vehicles (USVs) under interference conditions, an intelligent control parameter adjustment strategy based on the deep reinforcement learning (DRL) method is proposed. MethodA dynamic model of a USV combining t...

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Bibliographic Details
Main Authors: Lifei SONG, Chuanyi XU, Le HAO, Rong GUO, Wei CHAI
Format: Article
Language:English
Published: Editorial Office of Chinese Journal of Ship Research 2024-02-01
Series:Zhongguo Jianchuan Yanjiu
Subjects:
usv
deep reinforcement learning
intelligent control
trajectory tracking
parameter setting
Online Access:http://www.ship-research.com/en/article/doi/10.19693/j.issn.1673-3185.03122

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http://www.ship-research.com/en/article/doi/10.19693/j.issn.1673-3185.03122

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