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 …

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 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 …

Estimation of ship rotational motions induced by ocean waves plays a central role in many
navigation and fire control applications. Inertial-type instruments are available which give …

Manoeuvring Ship Model Identification and Interacting Multiple Model Tracking Algorithm
Design ( ) Page 1 Manoeuvring Ship Model Identification and Interacting Multiple Model …

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 …

A landing scheme for landing V/STOL aircraft on rolling ships was sought using
computerized simulations. The equations of motion as derived from hydrodynamics, their …

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 …

In order to predict the motion of a ship effectively, a new algorithm is developed in which the
wave-excitation input information is extracted from the estimated ship-motion data, and a …

A feasibility study of an application of adaptive model in a ship autopilot is presented. The
system for predicting a ship motion, developed in the previous studies, was enriched by a …