Real ship motions' multi-steps prediction based on add-weighted LLE-based model
Bo Liu, Feng Cai, Aiguo Shi · 2010
Real ship motions at sea are chaotic. A multi-steps forecast model was proposed based on add-weighted largest lyapunov exponent-based model (ALLEM), which improves the prediction effectiveness for noised-chaotic time series. Forecast test based on ALLEM was carried out for a series of real ship's roll and pitch time series, the error analysis result demonstrates that the ALLEM is applicable for real ship motions' multi-steps prediction.