Prediction of ship pitch motion by dual autoregressive model

Abstract

We focus on the pitch motion prediction for the ship heading maneuver operation. A dual Autoregressive (AR) model is proposed to sensitively predict the ship pitch motion time series data, comparing to the tradition AR model, which is incapable of predicting the static component of the ship pitch motion time series data. Potential application of this work is establishing a superior real-time ship motion predict system.