Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
710431 | IFAC-PapersOnLine | 2016 | 6 Pages |
Abstract
In 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.
Keywords
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
Authors
Tran Tuan Anh, Françoise Le Gall, Carine Jauberthie, Louise Travé-Massuyès,