Identification of Stochastic Timed Discrete Event Systems with st-IPN | Zendy

Mariela Muñoz-Añasco | Zendy; A. Correcher | Zendy; Emilio García | Zendy; F. Morant | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Identification of Stochastic Timed Discrete Event Systems with st-IPN

Author(s) -

Mariela Muñoz-Añasco,

A. Correcher,

Emilio García,

F. Morant

Publication year - 2014

Publication title -

mathematical problems in engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.262

H-Index - 62

eISSN - 1026-7077

pISSN - 1024-123X

DOI - 10.1155/2014/835312

Subject(s) - stochastic petri net , petri net , identification (biology) , computer science , identifier , event (particle physics) , timeline , generator (circuit theory) , process (computing) , stochastic process , sequence (biology) , algorithm , real time computing , programming language , mathematics , statistics , power (physics) , botany , physics , genetics , quantum mechanics , biology

This paper presents a method for the identification of stochastic timed discrete event systems, based on the analysis of the behavior of the input and output signals, arranged in a timeline. To achieve this goal stochastic timed interpreted Petri nets are defined. These nets link timed discrete event systems modelling with stochastic time modelling. The procedure starts with the observation of the input/output signals; these signals are converted into events, so that the sequence of events is the observed language. This language arrives to an identifier that builds a stochastic timed interpreted Petri net which generates the same language. The identified model is a deterministic generator of the observed language. The identification method also includes an algorithm that determines when the identification process is over.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research