Energy-efficient control of a thruster-assisted position mooring system using neural Q-learning techniques
Author:
Affiliation:
1. State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai, People’s Republic of China
2. Collaborative Innovation Center for Advanced Ship and Deep-Sea Exploration, Shanghai, People’s Republic of China
Funder
National Natural Science Foundation of China
Publisher
Informa UK Limited
Subject
Mechanical Engineering,Ocean Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/17445302.2020.1780683
Reference28 articles.
1. Control of a Realistic Wave Energy Converter Model Using Least-Squares Policy Iteration
2. Reactive control of a two-body point absorber using reinforcement learning
3. Control of a Point Absorber Using Reinforcement Learning
4. Effects of Hydrostatic Nonlinearity on Motions of Floating Structures
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