铁路系统参数估计的贝叶斯方法

2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) Pub Date : 2018-03-01 DOI:10.1109/ATSIP.2018.8364485

Nouha Jaoua, P. Vanheeghe, Nicolas Navarro, Olivier Langlois, Marius Iordache

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引用次数: 2

摘要

本文主要研究铁路系统的参数估计问题。为此，提出了基于动力学基本原理的列车物理模型。然后，通过期望最大化算法和顺序蒙特卡罗方法相结合的方法来处理参数估计。在合成数据和实际数据上进行的实验表明了该方法的有效性。

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A Bayesian approach for parameter estimation in railway systems

In this paper, we address the problem of parameter estimation in railway systems. For this purpose, a physical model of the train based on the fundamental principle of dynamics is proposed. Then, the parameter estimation is handled via an approach using a combination of Expectation-Maximization algorithm and Sequential Monte Carlo methods. The experiments performed both on synthetic and real data show the efficiency of the considered method.

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2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)

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