kth.sePublications KTH
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
Model-Based Systems Engineering Tool-Chain for Automated Parameter Value Selection
SCI Department, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Embedded Control Systems. KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.ORCID iD: 0000-0001-7048-0108
Department of Mechanical Engineering, Beijing Institute of Technology, Beijing, China.
SCI Department, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Show others and affiliations
2022 (English)In: IEEE Transactions on Systems, Man & Cybernetics. Systems, ISSN 2168-2216, E-ISSN 2168-2232, Vol. 52, no 4, p. 2333-2347Article in journal (Refereed) Published
Abstract [en]

Cyber-physical systems (CPSs) integrate heterogeneous systems and process sensor data using digital services. As the complexity of CPS increases, it becomes more challenging to efficiently formalize the integrated multidomain views with flexible automated verification across the entire lifecycle. This article illustrates a model-based systems engineering tool-chain to support CPS development with an emphasis on automated parameter value selection for co-simulation. First, a domain-specific modeling approach is introduced to support the formalizations of CPS artifacts, development processes, and simulation configurations. The domain-specific models are used as the basis to generate a Web-based process management system for automated parameter value selections, which coordinates Open Services for Lifecycle Collaboration services of development information and technical resources (models, data, and tools) in order to support automated co-simulation. The services are deployed by a service orchestrator based on a decision-making algorithm for parameter value selection. Finally, developers make use of the WPMS to implement simulations and to select system parameter values for co-simulation automatically. The approach is illustrated by a case study on auto-braking system development and we evaluate the efficiency of this tool-chain by both qualitative and quantitative methods. The results show that parameter values are selected more efficiently and effectively when implementing co-simulations using our tool-chain.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2022. Vol. 52, no 4, p. 2333-2347
Keywords [en]
Artificial intelligence, Automated parameter value selection, cyber-physical systems (CPSs), Data models, Decision making, model-based systems engineering (MBSE), Modeling, Stakeholders, Tools, Unified modeling language, Automation, Embedded systems, Information services, Life cycle, Systems engineering, Automated verification, Collaboration services, Cyber physical systems (CPSs), Decision-making algorithms, Domain specific modeling, Model-based systems engineering, Process management systems, Simulation configuration, Information management
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:kth:diva-304445DOI: 10.1109/TSMC.2020.3048821ISI: 000732109000001Scopus ID: 2-s2.0-85099724824OAI: oai:DiVA.org:kth-304445DiVA, id: diva2:1609365
Note

QC 20250326

Available from: 2021-11-08 Created: 2021-11-08 Last updated: 2025-03-26Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Chen, DeJiuTörngren, Martin

Search in DiVA

By author/editor
Chen, DeJiuTörngren, Martin
By organisation
Embedded Control SystemsMechatronics
In the same journal
IEEE Transactions on Systems, Man & Cybernetics. Systems
Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 248 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