Off-line Identification of Concurrent Discrete Event Systems Exhibiting Cyclic Behaviour
Résumé
This paper presents a method for the identification of concurrent Discrete Event Systems (DES) from input-output sequences representing the observed behavior. The proposed off-line technique yields an input-output model expressed as an Interpreted Petri net (IPN), which represents exactly the language than that generated by the observed system, which may include cyclic sequences. First, a sample of inputoutput vectors words are processed for obtaining sequences of output changes called events; then sequences of k-length event traces are built and represented by an IPN model composed by non measurable places. Then measurable places are added; they are related to transitions representing pertinent output changes. Finally inputs are associated to transitions and implicit non measurable places are removed.
Domaines
Automatique / Robotique
Origine : Fichiers produits par l'(les) auteur(s)
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