Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Probabilistic Model Checking for IEC 61499: A Manufacturing Application
Univ. Grenoble Alpes, CNRS, Grenoble INP, Inria, LIG, Grenoble, France.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0001-9148-946X
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0003-3371-6075
Univ. Grenoble Alpes, CNRS, Grenoble INP, Inria, LIG, Grenoble, France.
Show others and affiliations
2024 (English)In: 25th International Conference on Industrial Technology (ICIT 2024), IEEE, 2024Conference paper, Published paper (Refereed)
Abstract [en]

The ever-increasing complexity of industrial control systems generates a demand for reliable development methods. IEC 61499, a recent industrial standard, helps to develop complex distributed systems based on their positive characteristics, namely reusability, reconfigurability, interoperability, and portability. Formal verification techniques, such as model checking, have been proposed to ensure the correctness of these systems during the design time. However, they do not consider the presence of the environment that can impact the application behaviour at runtime. This work combines design time and runtime analyses to apply probabilistic model checking on an IEC-61499-based manufacturing application. We present several probabilistic properties to be checked. The results are visualised graphically to be analysed, which allows one to optimise the system's quantitative features, such as productivity.

Place, publisher, year, edition, pages
IEEE, 2024.
Keywords [en]
Industrial control systems, IEC 61499, formal verification, probabilistic model checking
National Category
Computer Sciences Computer Systems
Research subject
Pervasive Mobile Computing; Dependable Communication and Computation Systems
Identifiers
URN: urn:nbn:se:ltu:diva-107763DOI: 10.1109/ICIT58233.2024.10540845Scopus ID: 2-s2.0-85195805646OAI: oai:DiVA.org:ltu-107763DiVA, id: diva2:1876749
Conference
25th IEEE International Conference on Industrial Technology (ICIT 2024), Bristol, United Kingdom, March 25-27, 2024
Note

ISBN for host publication:  979-8-3503-4026-6; 

French National Research Agency (ANR-15-IDEX-0002); the LabEx PERSYVAL-Lab (ANR-11-LABX-0025-01); European Commission (101057083);

Available from: 2024-06-25 Created: 2024-06-25 Last updated: 2024-06-25Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Liakh, TatianaXavier, MidhunVyatkin, Valeriy

Search in DiVA

By author/editor
Liakh, TatianaXavier, MidhunVyatkin, Valeriy
By organisation
Computer Science
Computer SciencesComputer Systems

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 104 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf