A Physics-Data Co-Operative Ship Dynamic Model for a Docking Operation

Knowledge and data in cooperative modeling: Case studies on ship trajectory prediction

“…Ven et al employed a neural network for representing damping terms of the physics-based model (van de Ven et al, 2007). In Skulstad et al (2021b) and Kanazawa et al (2022), neural networks were used for compensating for the single-stepahead prediction error made by physics-based models. Mei et al (2019) employed a random forest to map the estimation of the acceleration made by the similar ship's dynamic model into that of the targeting ship by using a dataset of the targeting ship.…”