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A Probabilistic Approach for Predicting Vessel Motion

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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.
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出处 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 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)。
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