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Decomposition and Collaboration of Industrial Control System with Resource Constraints

  • East China Normal University
  • Université Paris Cité

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

With the development of 'Industry 4.0', the scale and complexity of industrial control system grow rapidly. Hence, the analysis and verification of such systems face really big challenges. Industry requires a reliable approach for decomposing the existing complex system model to multiple fine-grained and interactive models. In this paper, we propose a general event-triggered language named IMCL for modeling industrial control systems. IMCL can describe the physical resources and system in one unified model. Following the given physical resource constraints, we present the reliable and efficient decomposition and collaboration algorithms based on IMCL models to meet the industrial requirements. In particular, we have implemented these algorithms in a tool and get same encouraging results.

Original languageEnglish
Title of host publicationProceedings - 2017 22nd International Conference on Engineering of Complex Computer Systems, ICECCS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages162-165
Number of pages4
ISBN (Electronic)9781538624319
DOIs
StatePublished - 2 Jul 2017
Event22nd International Conference on Engineering of Complex Computer Systems, ICECCS 2017 - Fukuoka, Japan
Duration: 6 Nov 20178 Nov 2017

Publication series

NameProceedings of the IEEE International Conference on Engineering of Complex Computer Systems, ICECCS
Volume2017-November
ISSN (Print)2770-8527
ISSN (Electronic)2770-8535

Conference

Conference22nd International Conference on Engineering of Complex Computer Systems, ICECCS 2017
Country/TerritoryJapan
CityFukuoka
Period6/11/178/11/17

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