A Probabilistic Approach for Predicting Vessel Motion  

作　　者：Qi Hu Jingyi Liu Zongyu Zuo 

机构地区：[1]7th Research Division,Beihang University(BUAA),Beijing 100191,China [2]54th Research Institute of China Electronics Technology Group Corporation,Shijiazhuang 050081,China

出　　处：《IEEE/CAA Journal of Automatica Sinica》2024年第8期1877-1879,共3页自动化学报（英文版）

基　　金：supported by the National Natural Science Foundation of China(62073019);the Key R&D Program of Hebei Province(22340301D);China Postdoctoral Science Foundation(2021M703021);Hebei Postdoctoral Science Foundation(B2021003031)。

摘　　要：Dear Editor,This letter addresses the challenge of forecasting the motion of real-world vessels over an extended period with a limited amount of available data.By employing stochastic differential equation(SDE)modeling,we integrate both deterministic and stochastic components of the available information.Subsequently,we establish a recursive prediction methodology based on Bayes’rule to update the model state when new measurements are received.Furthermore,we develop a stochastic model tailored specifically to vessel dynamics and introduce an approximation method to tackle computational complexities.Finally,we present an application example and conduct a comparative experiment to validate the effectiveness and superiority of the proposed method.

关 键 词：METHOD STOCHASTIC LETTER 

分 类 号：U661.3[交通运输工程—船舶及航道工程] O211.63[交通运输工程—船舶与海洋工程]