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 …

This paper aims to study the nonparametric modeling and control of ship steering motion.
Firstly, the black box response model is derived based on the Nomoto model. Then, the …

The design of maritime traffic simulators, model-based controllers, and maritime
autonomous surface ships require accurate ship dynamic models. Using different …

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 …

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 …

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 …

This paper explores a fast and efficient method for identifying and modeling ship
maneuvering motion, and conducts a comprehensive experiment. Through the ship …

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 …

A nonparametric identification method based on ν ('nu')-support vector regression (ν-SVR) is
proposed to establish robust models of ship maneuvering motion in an easy-to-operate way …

A fast and accurate nonparametric modeling method based on local Gaussian process
regression (LGPR) is proposed for the identification modeling and prediction of ship …