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 …

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 …

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 …

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 …

[Objectives] The square-root unscented Kalman filter (SR-UKF) algorithm was developed for
the identification of hydrodynamic coefficients, which are difficult to obtain accurately in …

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 …

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 …

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

Navigation systems for ships mainly include inertial navigation system (INS),“BeiDou”
satellite navigation system, Global Positioning System (GPS), and Doppler navigation …

To meet the stability, precision and real-time performance of navigation system for
autonomous underwater vehicle (AUV), a novel SINS/DVL integrated navigation method …