A fuzzy approach for discrete event systems recovery.

Eugénia Minca (1) , Daniel Racoceanu (2) , Florin Dragomir (1) , Noureddine Zerhouni (2)

1 Computer Science Department
2 LAB - Laboratoire d'automatique de Besançon

A fuzzy approach for modelling and analysing the recovery activities in discrete event systems is presented. Those essential components of the management of discrete event systems require special reasoning and methods to manage uncertain knowledge. For those purposes, we introduce a tool derived from the fuzzy Petri nets. This tool, inspired from the fault tree, generalizes the defects analysis by a temporal fuzzy approach. The recovery, modelled by a dedicated tool, preserves the fuzzy temporal aspect due to a real time information exchange mechanism provied by the monitoring system.

Mots clés: Fuzzy expert system; detection; diagnosis; forecast; monitoring; recovery; fuzzy logic; fuzzy Petri nets.; fuzzy Petri nets

Domaines: Automatique / Robotique

Eugénia Minca, Daniel Racoceanu, Florin Dragomir, Noureddine Zerhouni. A fuzzy approach for discrete event systems recovery.. IFAC - International Federation of Automatic Control. 4th IFAC Conference on Management and Control of Production and Logistics, MCPL'2007., Sep 2007, Sibiu, Romania. pp.585-590. ⟨hal-00189140⟩