24th Congress of International Council of the Aeronautical Sciences, 29 August-3, September 2004, Yokohama, Japan
Paper ICAS 2004-P.30

REAL TIME PREDICTION OF SHIP MOTIONS AND ATTITUDES USING ADVANCED PREDICTION TECHNIQUES

A. Khan, C. Bil, K. Marion, M. Crozier*
RMIT University, Melbourne, Australia; *BAE Systems Australia, Melbourne, Australia

Keywords: ship, neural networks, modeling, combinations

The deployment and the landing of vehicles from a ship in an open water environment can often be difficult and even dangerous due to the random nature of the ship’s motion. This paper presents an investigation into the application of the auto-regressive moving average method and the artificial neural network methods for the prediction of ship motion.

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