Required Conditions to Identify Petri Net Models based on an Asymptotic Identification Approach

M.E. Meda-Campaña, A. Chavoya, and C. Lopez-Martin (Mexico)


Discrete event systems, Interpreted Petri nets, and asymptotic identification.


The aim of this paper is to present the conditions under which a Discrete Event System (DES) can be identified using an asymptotic identification approach. The asymptotic identification problem consists in compute an Interpreted Petri Net (IPN) model in proportion as new output sequences of the system are observed. Given this problem, the identification conditions are related with: 1) the possibility to detect a change of state from the output signal, 2) the structure of the system to be identified and 3) the input signal given to the system to generate the output sequences required.

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