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- W2352218716 abstract "Based on the Automation Regressive (AR) model, a real-time modeling and prediction method for the huge ship attitude motion forced by random waves was introduced. A real-time fast order selection algorithm-based on improved corner condition and the RLS algorithm-recursion model parameter identification online was given. The ship longitudinal motion was simulated in the typical voyages condition, and it was compared with AIC rule order selection algorithm. The simulation results show that AR model is suitable to modeling and prediction for the ship in the condition of non-steady motion, and the two kinds of order selection algorithm both would realize estimating AR model order on-line, and prediction time would reach 7-10s. But the order selection algorithm-based on improved corner condition are simpler, programming easer, and that the prediction time is shorten. This method has important meaning in the aspects of theories and engineering application." @default.
- W2352218716 created "2016-06-24" @default.
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- W2352218716 date "2007-01-01" @default.
- W2352218716 modified "2023-09-25" @default.
- W2352218716 title "Research on Real-time Prediction Algorithm of Ship Attitude Motion" @default.
- W2352218716 hasPublicationYear "2007" @default.
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