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Incorporating Automatic Model Checking into GPenSIM

  • University of Stavanger

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Citation (Scopus)

Abstract

Large-scale manufacturing systems involve hardware and software that are highly interconnected and complex. Unexpected failures in these systems can cause material damages and can risk human lives too. The definite way of avoiding unexpected failures is to make a model of the system and to perform model verification and validation on it. Petri nets are a highly effective way of modelling discrete-event systems. Model checking is the terminology that is used for model verification on Petri Nets. General-purpose Petri Net Simulator (GPenSIM) is a tool for modelling, simulation, performance evaluation, and control of discrete-event systems (GPenSIM: a general purpose Petri net simulator, http://www.davidrajuh.net/gpensim, 2019, [15]). GPenSIM is developed by one of the authors of this chapter. This chapter explores the potentials of incorporating the model checking functions to GPenSIM. In this chapter, the problem of model checking is presented. The chapter introduces Activity-Oriented Petri Nets (AOPN) and GPenSIM for model checking of cyclic production systems.

Original languageEnglish
Title of host publicationStudies in Systems, Decision and Control
PublisherSpringer International Publishing
Pages175-187
Number of pages13
DOIs
Publication statusPublished - 2020

Publication series

NameStudies in Systems, Decision and Control
Volume241
ISSN (Print)2198-4182
ISSN (Electronic)2198-4190

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Control and Systems Engineering
  • Automotive Engineering
  • Social Sciences (miscellaneous)
  • Economics, Econometrics and Finance (miscellaneous)
  • Control and Optimization
  • Decision Sciences (miscellaneous)

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