文章基本信息

标题：Two stochastic filters and their interval extensions
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作者：Tran Tuan Anh ; Françoise Le Gall ; Carine Jauberthie 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2016
卷号：49
期号：5
页码：49-54
DOI：10.1016/j.ifacol.2016.07.088
语种：English
出版社：Elsevier
摘要：AbstractIn this paper, two well-known stochastic filtering algorithms, Kalman and particle filters, are presented. Their extensions using interval analysis are described. A fuel cell system case study is considered together with specific scenarios representing situations in which interval filters are relevant. The results confirm the advantage of the interval filters in such situations.
关键词：KeywordsState estimationKalman filteringparticle filteringstochastic systemsbounded errorInterval analysis