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Found 4 papers, 0 papers with code
Parameter fine-tuning method for MMG model using real-scale ship data
The results show that, in all cases, the accuracy of the maneuvering simulation is improved by applying the tuned parameters to the MMG model, and the validity of the proposed parameter fine-tuning method is confirmed.
Data Augmentation Methods of Parameter Identification of a Dynamic Model for Harbor Maneuvers
In this paper, we improve the generalization performance of the dynamic model for the automatic berthing and unberthing controller by introducing data augmentation.
Collision probability reduction method for tracking control in automatic docking / berthing using reinforcement learning
This paper proposes a training method based on reinforcement learning for a trajectory tracking controller that reduces the probability of collisions with static obstacles.
On Neural Network Identification for Low-Speed Ship Maneuvering Model
A new system identification method for generating a low-speed maneuvering model using recurrent neural networks (RNNs) and free running model tests is proposed in this study.
