论文信息 - Nonlinear Time Series Model for Ship Tracking Control

Nonlinear Time Series Model for Ship Tracking Control

Abstract This paper presents two models for representing the ship's tracking dynamic behavior. The first model is a hybrid model combined by a state-dependent nonlinear time series model and a ship moving equation model, which has the advantage in long-term prediction. The second model is a pure state-dependent time series model, which has the advantage in short-term prediction. Both of them showed better simulation results than the model presented in Peng et al. [2010] did.

Genshiro Kitagawa | Jun Wu | Hui Peng | Kohei Ohtsu | Hiroyuki Oda

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