Predicting Drift of the Parameters of Dynamic Systems with a Finite Number of Random Perturbative Factors
- 作者: Sysoev Y.S.1
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隶属关系:
- Volgodonsk Engineering and Technical Institute, Branch of the National Research Nuclear University MEPhI
- 期: 卷 59, 编号 8 (2016)
- 页面: 810-816
- 栏目: General Problems of Metrology and Measurement Technique
- URL: https://journals.rcsi.science/0543-1972/article/view/245446
- DOI: https://doi.org/10.1007/s11018-016-1049-3
- ID: 245446
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详细
The need to use mixtures of distributions for monitoring the parameters of different dynamic systems whose state depends on several random factors, is evaluated. An algorithm employing mixtures of Poisson distributions for stochastic prediction of changes in these parameters during system operation is proposed.
作者简介
Yu. Sysoev
Volgodonsk Engineering and Technical Institute, Branch of the National Research Nuclear University MEPhI
编辑信件的主要联系方式.
Email: sysoev2004@mail.ru
俄罗斯联邦, Volgodonsk
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