Model-Based Systems Engineering Tool-Chain for Automated Parameter Value SelectionShow 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
2021-11-082021-11-082025-03-26Bibliographically approved