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Communication Dans Un Congrès Année : 2016

Two stochastic filters and their interval extensions

Résumé

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.

Dates et versions

hal-01741098 , version 1 (22-03-2018)

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Citer

Tran Tuan Anh, Françoise Le Gall, Carine Jauberthie, Louise Travé-Massuyès. Two stochastic filters and their interval extensions. 4th IFAC Conference on Intelligent Control and Automation Sciences (ICONS 2016), Jun 2016, Reims, France. pp.49 - 54, ⟨10.1016/j.ifacol.2016.07.088⟩. ⟨hal-01741098⟩
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