Deep reinforcement learning based active disturbance rejection control for ship course control-Reference-Cited by-同舟云学术

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Deep reinforcement learning based active disturbance rejection control for ship course control

Published:2021-10 Issue: Volume: Page:
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Qin Huayang,Tan Panlong,Chen Zengqiang,Sun Mingwei,Sun Qinglin

Funder

National Natural Science Foundation of China

Natural Science Foundation of Tianjin Science and Technology Correspondent Project

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference49 articles.

1. On the velocity obstacle based automatic collision avoidance with multiple target ships at sea;Tian,2015

2. Ship heading control based on fuzzy pid control;Zhang,2019

3. Automatic docking for underactuated ships based on multi-objective nonlinear model predictive control;Li;IEEE Access,2020

4. Automatic control of paving ship based on lstm;Hu,2019

5. Research and comparison of automatic control algorithm for unmanned ship;Yao,2018

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