Jun 10, 2021 · We propose a hybrid modeling methodology, in which prior knowledge describing the ship dynamic effects is incorporated into a data-driven calibrator.

On average, the hybrid predictor decreases the prediction errors to a significant extent, inducing a high-fidelity representative model of the elongated vessel.

High-fidelity models capable of accurately predicting ship motion are critical for promoting innovation and efficiency in the maritime industry.

Incorporating approximate dynamics into data-driven calibrator: A representative model for ship maneuvering prediction. IEEE Transactions on Industrial ...

Incorporating approximate dynamics into data-driven calibrator: A representative model for ship maneuvering prediction. T Wang, G Li, LI Hatledal, R Skulstad ...

This dissertation exploits the physics-data cooperative modeling methodology and contextualizes the synthesis in maritime motion prediction.

Incorporating approximate dynamics into data-driven calibrator: a representative model for ship maneuvering prediction. IEEE Trans. Ind. Inf., 18 (3) (2022) ...

... incorporated into a data-driven calibrator, yielding a representative model with high predictive capability. Enabled by the integration of model estimated ship ...

Oct 17, 2024 · In this paper, we propose an efficient data collection strategy for modeling the dynamics of a floating robotic vehicle using neural networks.

Dec 15, 2022 · Incorporating approximate dynamics into data-driven calibrator: A representative model for ship maneuvering prediction. IEEE Trans. Ind. Inf ...