Nonlinear Time Series Model for Ship Tracking Control

J Wu,H Peng,K Ohtsu,G Kitagawa,H Oda

doi:10.3182/20130918-4-jp-3022.00021

Nonlinear Time Series Model for Ship Tracking Control

J Wu, H Peng + Show 3 more

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https://doi.org/10.3182/20130918-4-jp-3022.00021

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Journal: IFAC Proceedings Volumes

Publication Date: Jan 1, 2013

Affiliation: Changsha University of Science and Technology, South University, Central South University, Tokyo University of Marine Science and Technology, Research Organization of Information and Systems, Mitsui (Japan)

#Tracking Dynamic Behavior #Nonlinear Time Series Model + Show 8 more

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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.

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