Straight-Path Following and Formation Control of USVs Using Distributed Deep Reinforcement Learning and Adaptive Neural Network

被引：1

作者：

Zhengqing Han ^{[1
]}

Yintao Wang ^{[1
]}

Qi Sun ^{[1
]}

机构：

[1] the School of Marine Science and Technology, Northwestern Polytechnical University

来源：

IEEE/CAA Journal of Automatica Sinica | 2023年 / 10卷 / 02期

基金：

中国国家自然科学基金;

关键词：

D O I：

暂无

中图分类号：

V279 [无人驾驶飞机]; TP273 [自动控制、自动控制系统]; TP18 [人工智能理论];

学科分类号：

080201 ; 081104 ; 0812 ; 0835 ; 1111 ; 1405 ;

摘要：

Dear Editor,This letter presents a distributed deep reinforcement learning(DRL) based approach to deal with the path following and formation control problems for underactuated unmanned surface vehicles(USVs). By constructing two independent actor-critic architectures,the deep deterministic policy gradient(DDPG) method is proposed to determine the desired heading and speed command for each USV.

引用

页码：572 / 574

页数：3

共 50 条

[31] Adaptive Power System Emergency Control Using Deep Reinforcement Learning
Huang, Qiuhua
Huang, Renke
Hao, Weituo
Tan, Jie
Fan, Rui
Huang, Zhenyu
IEEE TRANSACTIONS ON SMART GRID, 2020, 11 (02) : 1171 - 1182
[32] Adaptive Control of Data Center Cooling using Deep Reinforcement Learning
Heimerson, Albin
Sjolund, Johannes
Brannvall, Rickard
Gustafsson, Jonas
Eker, Johan
2022 IEEE INTERNATIONAL CONFERENCE ON AUTONOMIC COMPUTING AND SELF-ORGANIZING SYSTEMS COMPANION (ACSOS-C 2022), 2022, : 1 - 6
[33] Adaptive neural control using reinforcement learning for a class of robot manipulator
Li Tang
Yan-Jun Liu
Shaocheng Tong
Neural Computing and Applications, 2014, 25 : 135 - 141
[34] Adaptive neural control using reinforcement learning for a class of robot manipulator
Tang, Li
Liu, Yan-Jun
Tong, Shaocheng
NEURAL COMPUTING & APPLICATIONS, 2014, 25 (01): : 135 - 141
[35] Learning visual path-following skills for industrial robot using deep reinforcement learning
Liu, Guoliang
Sun, Wenlei
Xie, Wenxian
Xu, Yangyang
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2022, 122 (02): : 1099 - 1111
[36] Pattern classification using fuzzy adaptive learning control network and reinforcement learning
Quah, KH
Quek, C
Leedham, G
ICONIP'02: PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING: COMPUTATIONAL INTELLIGENCE FOR THE E-AGE, 2002, : 1439 - 1443
[37] Parameterized Adaptive Controller Design using Reinforcement Learning and Deep Neural Networks
Kumar, Kranthi P.
Detroja, Ketan P.
2022 EIGHTH INDIAN CONTROL CONFERENCE, ICC, 2022, : 121 - 126
[38] Towards optimal control of air handling units using deep reinforcement learning and recurrent neural network
Zou, Zhengbo
Yu, Xinran
Ergan, Semiha
BUILDING AND ENVIRONMENT, 2020, 168 (168)
[39] An Adaptive SOM Neural Network Method for Distributed Formation Control of a Group of AUVs
Li, Xin
Zhu, Daqi
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2018, 65 (10) : 8260 - 8270
[40] Adaptive long-term control of biological neural networks with Deep Reinforcement Learning
Wuelfing, Jan M.
Kumar, Sreedhar S.
Boedecker, Joschka
Riedmiller, Martin
Egert, Ulrich
NEUROCOMPUTING, 2019, 342 : 66 - 74

← 1 2 3 4 5 →