Fuzzy State Estimation of Discrete Event Systems

This paper addresses state estimation of discrete event systems (DES) using a fuzzy reasoning approach; a method for approximating the current state of DES with uncertainty in the duration of activities is presented. The proposed method is based on a DES specification given as a fuzzy timed Petri net in which fuzzy sets are associated to places; a technique for the recursive computing of imprecise markings is given, then the conversion to discrete marking is presented.

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