Online ship motion identification modeling and its application to course-keeping control

Y Meng, X Zhang, X Zhang, D Ma, Y Duan - Ocean Engineering, 2024 - Elsevier
Online identification modeling can lay the model foundation for ship motion control. Given
that the parameters of the ship motion model cannot be accurately determined, online …

An unscented kalman filter online identification approach for a nonlinear ship motion model using a self-navigation test

J Zheng, D Yan, M Yan, Y Li, Y Zhao - Machines, 2022 - mdpi.com
This paper proposes a method for the online parameter identification of nonlinear ship
motion systems. First, the motion system of a ship is nonlinear, and in the course of sailing …

[PDF][PDF] Dynamics-based identification of ship motion mathematical model from full-scale trials results

J Artyszuk - Annual of Navigation, 1999 - bibliotekanauki.pl
A new identification technique of ship's dynamics for integrated navigational systems is
proposed. It is derived from motion equations analysis. The major attraction is differentiation …

An online identification approach for a nonlinear ship motion model based on a receding horizon

J Zheng, M Yan, Y Li, C Huang… - Transactions of the …, 2021 - journals.sagepub.com
The ship motion system is a nonlinear control object, and its system parameters exhibit time-
varying characteristics with the ship motion state, which increases the difficulty of control …

Online non-parametric modeling for ship maneuvering motion using local weighted projection regression and extended Kalman filter

W Yue, J Ren, W Bai - 2023 IEEE 12th Data Driven Control and …, 2023 - ieeexplore.ieee.org
This paper proposed a method of online non-parameter identification of nonlinear ship
motion systems. Firstly, we use Mariner to generate a certain amount of ship motion data to …

Maneuverability prediction of ship nonlinear motion models based on parameter identification and optimization

S An, L Wang, P Liu, F Deng, S Liu, Z Wang, Z Fan - Measurement, 2024 - Elsevier
Ship maneuverability prediction accuracy depends on the accuracy of ship motion model
parameter identification. To solve the problem of parameter identification of nonlinear ship …

[HTML][HTML] Data-driven model identification and predictive control for path-following of underactuated ships with unknown dynamics

L Wang, S Li, J Liu, Q Wu - International Journal of Naval Architecture and …, 2022 - Elsevier
With the trends towards autonomous shipping, advanced ship motion control methods have
received increased attention in recent years. The validity of ship models is crucial in …

A Review on Motion Prediction for Intelligent Ship Navigation

D Zhang, X Chu, C Liu, Z He, P Zhang… - Journal of Marine Science …, 2024 - mdpi.com
In recent years, as intelligent ship-navigation technology has advanced, the challenge of
accurately modeling and predicting the dynamic environment and motion status of ships has …

Recent development on analysis and control of ship's motions

K Ohtsu - Proceedings of the 1999 IEEE International …, 1999 - ieeexplore.ieee.org
Surveys developments in the field of analyzing a ship's motions and its control at sea. The
following items are considered:(1) models representing the ship's motions, its identification …

Design and experimental testing of a free-running ship motion control platform

J Zheng, F Meng, Y Li - IEEE Access, 2017 - ieeexplore.ieee.org
In recent years, ship motion control has been used in unmanned merchant ships. It is a key
issue in the sailing performance and navigation cost of unmanned vessels. The merchant …