Asymptotic identification of discrete event systems
María Elena Meda-Campaña, Antonio Ramírez‐Treviño, Ernesto López-Mellado · 2002
This work deals with the analysis of the online identifiability of the discrete event systems (DES) using interpreted Petri nets. A theoretical framework characterizing identifiable systems when only the input and output system's signals are available is first addressed. Based on this framework, an algorithm that progressively builds an IPN model of the system is then presented. As a possible application of the problem herein addressed, the online identification problem is adapted to address the problem of DES model validation.