In order to solve the identification problem for ship response model parameters, the method
using Kalman filter algorithm was developed. Firstly, the first order linear, first order …

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 …

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 …

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 …

Objective In recent years, ships are becoming larger, faster and more intelligent, so the ship
dynamic positioning technology is particularly important. In order to establish a kinematic …

Ship maneuvering models are the keys to the research of ship maneuverability, design of
ship motion control system and development of ship handling simulators (Shi et al 2006) …

The mathematical model of ship motion is the core of autonomous navigation systems for
unmanned vessels. Obtaining accurate model parameters enables more precise control of …

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 …

The system identification algorithm, based on the square root cubature Kalman filter
(SRCKF) is proposed to address issues such as low accuracy, poor robustness, and weak …

The extended Kalman filtering (EKF) based identification is an effective identification
technology. It has made successful applications in ship model identification fields to cruise …