We consider the techniques of on-line parameter identification for a simplified model of ship
dynamic. In the past two decades, there is an increase in the use of the extended Kalman …

The problem of real time estimation of ship mo-tions is consided. The problem is viewed as a
nonlinear adaptive estimation problem for partially unknown timevarying linear systems with …

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 …

A novel adaptive filtering technique is described for a class of systems with unknown
disturbances. The estimator includes both a self-tuning filter and a Kalman filter. The state …

Sažetak The optimal estimation of a ship&# 39; s navigation parameters in the tracking
control is presented in the paper. It is a nonlinear stochastic state estimation problem. For …

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 direct parameter estimation algorithm is applied to the simple linear maneuvering model
(TK model). The algorithm is composed of the IIR (Infinite Impulse Response) digital filters …

The feasibility of predicting the motions of a vessel in real time 2 to 10 seconds ahead in
time is presented, using Kalman filtering techniques. First, a simple outline of the theory of …

Todays model-based dynamic positioning (DP) systems require that the ship and thruster
dynamics are known with some accuracy in order to use linear quadratic optimal control …

The modelling and identification of an open-frame underwater vehicle for marine
applications is considered. The goal of this work is to demonstrate that modelling and …