USV path following controller based on DDPG with composite state-space and dynamic reward function-Reference-Cited by-同舟云学术

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USV path following controller based on DDPG with composite state-space and dynamic reward function

Published:2022-12 Issue: Volume:266 Page:112449
ISSN:0029-8018
Container-title:Ocean Engineering
language:en
Short-container-title:Ocean Engineering

Author:

Zhong Weibo,Li Haodong,Meng Yizhen,Yang Xiaofei,Feng Youbing,Ye Hui,Liu Wei

Funder

Shanghai Rising-Star Program

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Ocean Engineering,Environmental Engineering

Reference24 articles.

1. Straight-path following for underactuated marine vessels using deep reinforcement learning [J];Andreas;IFAC-PapersOnLine,2018

2. A knowledge-free path planning approach for smart ships based on reinforcement learning [J];Chen;Ocean. Eng.,2019

3. Q-Learning-based parameters adaptive algorithm for active disturbance rejection control and its application to ship course control [J];Chen;Neurocomputing,2020

4. Concise deep reinforcement learning obstacle avoidance for underactuated unmanned marine vessels[J];Cheng;Neurocomputing,2018

5. Fuzzy categorical deep reinforcement learning of a defensive game for an unmanned surface vessel [J];Cheng;Int. J. Fuzzy Syst.,2019

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1. Adaptive Dynamic Model-Based Path Following Controller Design for an Unmanned Surface Vessel;Journal of Dynamic Systems, Measurement, and Control;2024-08-29

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3. Improved Line-of-Sight Path Following Control for Underactuated USVs with Unknown Parameters Using Q-learning;2024 IEEE 7th International Conference on Industrial Cyber-Physical Systems (ICPS);2024-05-12

4. Underactuated MSV path following control via stable adversarial inverse reinforcement learning;Ocean Engineering;2024-05

5. Route Planning Algorithms for Unmanned Surface Vehicles (USVs): A Comprehensive Analysis;Journal of Marine Science and Engineering;2024-02-23

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