[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 response to the complexity and time demands of conventional methods for estimating the
hydrodynamic coefficients, this study aims to revolutionize ship maneuvering analysis by …

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 …

Unknown parameters can be determined by system identification techniques. Extended
Kalman filter method was introduced as a real time estimator of hydrodynamic derivatives …

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 …

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 …

Estimation-Before-Modeling (EBM) technique (or the two-step method) is a system
identification method that estimates parameters in a dynamic model. Given sea trial data, the …

Due to the complexity of hydrodynamic forces during maneuvering, the parameter estimation
of the hydrodynamic model of vessel is challenging. This paper proposed a simplified three …

In this paper, an intelligent adaptive algorithm based on the integrated Inertial Navigation
System (INS) is presented for estimating the velocity of an Autonomous Underwater Vehicle …

To obtain accurate estimation of ship heave motion information in real time, according to the
ship heave kinematics model and spectral analysis method, an analytical model describing …