Scalable methods of discrete plant model generation for closed-loop model checking

Igor Buzhinskii, Antti Pakonen, Valeriy Vyatkin

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

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Abstract

To facilitate correctness and safety of mission-critical automation systems, formal methods should be applied in addition to simulation and testing. One of such formal methods is model checking, which is capable of verifying complex requirements for the system's model. If both the controller and the controlled plant are formally modeled, then the variant of this technique called closed-loop model checking can be applied. Recently, a technique of automatic plant model generation has been proposed which is applicable in this scenario. This paper continues the work in this direction by presenting two plant model construction approaches which are much more scalable with respect to the previous one, and puts this work into a more practical context. The approaches are evaluated on a case study from the nuclear automation domain.
Original languageEnglish
Title of host publicationProceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
PublisherIEEE
Pages5483-5488
Number of pages6
ISBN (Electronic)978-1-5386-1127-2
DOIs
Publication statusPublished - 18 Dec 2017
MoE publication typeA4 Article in a conference publication
EventAnnual Conference of the IEEE Industrial Electronics Society - Beijing, China
Duration: 29 Oct 20171 Nov 2017
Conference number: 43
http://iecon2017.csp.escience.cn/

Publication series

NameProceedings of the Annual Conference of the IEEE Industrial Electronics Society
PublisherIEEE
ISSN (Print)1553-572X

Conference

ConferenceAnnual Conference of the IEEE Industrial Electronics Society
Abbreviated titleIECON
CountryChina
CityBeijing
Period29/10/201701/11/2017
Internet address

Keywords

  • model checking
  • solid modeling
  • automation
  • computational modeling
  • context modeling
  • data models
  • tools

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