Trajectory tracking control of vectored thruster autonomous underwater vehicles based on deep reinforcement learning-Reference-Cited by-同舟云学术

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Trajectory tracking control of vectored thruster autonomous underwater vehicles based on deep reinforcement learning

Published:2024-08-20 Issue: Volume: Page:1-14
ISSN:1744-5302
Container-title:Ships and Offshore Structures
language:en
Short-container-title:Ships and Offshore Structures

Author:

Liu Tao¹^ORCID,Zhao Jintao¹,Hu Yuli²,Huang Junhao¹

Affiliation:

1. School of Ocean Engineering and Technology, Sun Yat-sen University & Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, People’s Republic of China

2. School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an, People’s Republic of China

Funder

Southern Marine Science and Engineering Guangdong Laboratory

National Natural Science Foundation of China

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/17445302.2024.2391235

Reference35 articles.

1. Continuous finite-time stabilization of the translational and rotational double integrators

2. Carlucho I, De Paula M, Wang S, Menna BV, Petillot YR, Acosta GG. 2018. AUV position tracking control using end-to-end deep reinforcement learning. In: OCEANS 2018 MTS/IEEE. Charleston: IEEE; p. 1–8.

3. A Behavior-Based Scheme Using Reinforcement Learning for Autonomous Underwater Vehicles

4. Path planning and obstacle avoidance for AUV: A review

5. Horizontal Trajectory Tracking of Underactuated AUV using Backstepping Approach

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