التفاصيل البيبلوغرافية
| العنوان: |
A Bayesian approach for parameter estimation in railway systems |
| المؤلفون: |
Nicolas Navarro, Nouha Jaoua, Marius Iordache, Olivier Langlois, Philippe Vanheeghe |
| المصدر: |
2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)
ATSIP |
| بيانات النشر: |
IEEE |
| مصطلحات موضوعية: |
Computer science, Estimation theory, Expectation–maximization algorithm, Bayesian probability, Sequential monte carlo methods, Algorithm |
| الوصف: |
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. |
| اللغة: |
English |
| ردمك: |
978-1-5386-5239-8 |
| DOI: |
10.1109/atsip.2018.8364485 |
| URL الوصول: |
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2cee82abffa533f4753b98c52c6b39f4 |
| رقم الانضمام: |
edsair.doi.dedup.....2cee82abffa533f4753b98c52c6b39f4 |
| قاعدة البيانات: |
OpenAIRE |