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

As a critical step designing the ship controller and the maritime traffic simulator, the system
identification of a ship dynamic model from input-output data is a promising direction …

Maritime transport plays a vital role in economic development. To establish a vessel
scheduling model, accurate ship maneuvering models should be used to optimize the …

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

A system identification method based on Gaussian progress regression (GPR) combined
with wavelet threshold denoising (WT) is proposed for identifying the black-box model of …

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 …

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 novel adaptive hybrid-kernel function based Gaussian process regression (AHKGPR) is
proposed for nonparametric modeling of ship maneuvering motion. With the aid of Gaussian …

This study explores a nonparametric identification scheme for a ship maneuvering
mathematical model. To overcome the difficulty in setting support vector regression (SVR) …

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