Advanced search
Start date
Betweenand
(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Stochastic Filtering of Max-Plus Linear Systems With Bounded Disturbances

Full text
Author(s):
Mendes, Rafael Santos [1] ; Hardouin, Laurent [2] ; Lhommeau, Mehdi [2]
Total Authors: 3
Affiliation:
[1] Univ Estadual Campinas, FEEC, DCA, BR-13083852 Campinas, SP - Brazil
[2] Univ Angers, ISTIA, LARIS, F-49000 Angers - France
Total Affiliations: 2
Document type: Journal article
Source: IEEE Transactions on Automatic Control; v. 64, n. 9, p. 3706-3715, SEP 2019.
Web of Science Citations: 1
Abstract

The objective of this paper is to propose a filtering strategy for max-plus linear systems with bounded disturbances without the direct calculation of the a posteriori state probability. The strategy is based on the inversion of the expectation of the measure with respect to the state variable. Among the possible solutions, the closest to the prediction is chosen. An algorithm, based on interval propagation, is proposed to solve this problem. Simulations are performed to show the consistence of the proposed methodology with other approaches in the literature. (AU)

FAPESP's process: 15/19384-9 - Observers,Reachability and Stochastic Filtering Problems in Max-Plus Systems
Grantee:Rafael Santos Mendes
Support Opportunities: Scholarships abroad - Research