The Use of Petri Networks with Fuzzy Interval for the Diagnosis of Hybrid Systems

EasyChair Preprint 12284

Abstract

Many approaches have been proposed to the Petri nets but under the same name, they are based on different notions and more or less coherent with the theory of Petri nets. In the mechanical field the tolerance is very important, that is why we have to arrive at a very precise interval, from this proverb we have found the idea to arrive at a tool that takes into account not only modeling but also time interval The performances of the diagnostic approaches depend on the means of used model. Obtaining and using the model to construct a diagnosis system is a complex and difficult task more particularly for the uncertain systems by reason of unforeseen and uncontrollable events that characterize them. In this paper, we present an approach based on the different theories of characteristics, the fuzzy system and the petri lattice. This tool has been proposed to improve the modeling and quality of components which is presented as an application. This command must maintain the part specification interval in front of Variations. Fuzzy temporal Petri nets (FTPN), adding fuzzy appearance to temporal Petri nets

Keyphrases: Artificial Intelligence, Diagnostic, Fuzzy Logic, Petri networks, time interval

@booklet{EasyChair:12284,
  author    = {Fatma Lajmi and Achraf Jabeur Telmoudi and Hédi Dhouibi},
  title     = {The Use of Petri Networks with Fuzzy Interval for the Diagnosis of Hybrid Systems},
  howpublished = {EasyChair Preprint 12284},
  year      = {EasyChair, 2024}}