Identification of stochastic timed discrete event systems with st-IPN
type: Item
instance of: scholarly article
title: Identification of stochastic timed discrete event systems with st-IPN
zbMATH Open document ID: 1407.93226
DOI: 10.1155/2014/835312
author: Doyra Mariela Muñoz
author: Antonio Correcher
author: Emilio García
author: Francisco Morant
published in: Mathematical Problems in Engineering
publication date: 2019-02-08T00:00:00Z
review text: Summary: 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.
Mathematics Subject Classification ID: 93C65
Mathematics Subject Classification ID: 93E12
Mathematics Subject Classification ID: 93A10
zbMATH DE Number: 7017392
Wikidata QID: Q59069834
describes a project that uses: UMDES
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2014/835312
OpenAlex ID: W1993146474
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description: scientific article; zbMATH DE number 7017392