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 …

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 …

Real-time parameter identification of ship maneuvering response model based on nonlinear Gaussian Filter

S Wang, L Wang, N Im, W Zhang, X Li - Ocean Engineering, 2022 - Elsevier
In order to solve the problem of parameter identification of nonlinear ship motion model in
ship autonomous navigation control, a real-time parameter identification method based on …

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 …

Parameter identification of ship motion model based on multi-innovation methods

S Xie, X Chu, C Liu, J Liu, J Mou - Journal of Marine Science and …, 2020 - Springer
In consideration of the defects of traditional least squares and extended Kalman filtering
methods that are used for parameter identification of ship response model, ie, low precision …

EKF based model identification for a relaxed dynamic positioning ship using NMPC method

G Xia, J Liu, X Chen, D Wang… - 2015 IEEE International …, 2015 - ieeexplore.ieee.org
The extended Kalman filtering (EKF) based identification is an effective identification
technology. It has made successful applications in ship model identification fields to cruise …

Parametric identification of ship's maneuvering motion based on improved least square method

Y Qin, Y Ma - … on Mechatronics, Electronic, Industrial and Control …, 2014 - atlantis-press.com
In order to solve the problem of parameter identification of ship's Maneuvering Motion, a fast
convergent iterative least squares algorithm is presented considering nonlinear and non …

Nonlinear innovation identification algorithm based on comprehensive application method for large ship model in rough sea

C Song, Y Li, J Sui, X Zhang - Ocean Engineering, 2024 - Elsevier
To avoid the parameter drift caused by dynamic cancellation in the process of large ship
identification modeling in rough sea, and further improve the navigation stability of large …

Online identification of a ship maneuvering model using a fast noisy input Gaussian process

Y Xue, G Chen, Z Li, G Xue, W Wang, Y Liu - Ocean Engineering, 2022 - Elsevier
The design of maritime traffic simulators, model-based controllers, and maritime
autonomous surface ships require accurate ship dynamic models. Using different …

Real time parameters identification of ship dynamic using the extended Kalman filter and the second order filter

FC Ma, SH Tong - Proceedings of 2003 IEEE Conference on …, 2003 - ieeexplore.ieee.org
We consider the techniques of on-line parameter identification for a simplified model of ship
dynamic. In the past two decades, there is an increase in the use of the extended Kalman …