> Details

Zerwas, Thilo [Author]; Jacobs, Georg [Author]; Kowalski, Julia [Author]; Husung, Stephan [Author]; Gerhard, Detlef [Author]; Rumpe, Bernhard [Author]; Zeman, Klaus [Author]; Vafaei, Seyedmohammad [Author]; König, Florian [Author]; Höpfner, Gregor [Author]

Model signatures for the integration of simulation models into system models

Reference
management

Bookmarks

Remove from
bookmarks

Share this on Whatsapp

Close

Bookmarks



You can manage bookmarks using lists, please log in to your user account for this.
  • Media type: E-Article
  • Title: Model signatures for the integration of simulation models into system models
  • Contributor: Zerwas, Thilo [VerfasserIn]; Jacobs, Georg [VerfasserIn]; Kowalski, Julia [VerfasserIn]; Husung, Stephan [VerfasserIn]; Gerhard, Detlef [VerfasserIn]; Rumpe, Bernhard [VerfasserIn]; Zeman, Klaus [VerfasserIn]; Vafaei, Seyedmohammad [VerfasserIn]; König, Florian [VerfasserIn]; Höpfner, Gregor [VerfasserIn]
  • imprint: 2022
  • Published in: Systems ; 10(2022), 6, Artikel-ID 199, Seite 1-15
  • Language: English
  • DOI: 10.3390/systems10060199
  • ISSN: 2079-8954
  • Identifier:
  • Origination:
  • Footnote:
  • Description: Model-based systems engineering (MBSE) is an auspicious approach to the virtual development of cyber-physical systems. The behavior of the system’s elements is thus represented by specialized simulation models that are integrated into the descriptive SysML-based system model. Although many simulation models have been developed in research for the common system elements for various purposes and fidelities, their integration remains a major challenge: the parameter interfaces of the simulation models must be coupled with each other and with the parameters of the system elements in such a way that they are correctly parameterized. So far, this coupling can only be carried out by model experts in a time-consuming and error-prone manner. Therefore, in this paper, we first propose a concept that structures the system element parameters for targeted use in validation and design cases. Second, we propose a model signature for simulation models that differentiates its parameters by input, internal, output, and model parameters and specifies them with spatial and temporal dimensions as well as admissible ranges, among others. Based on the two contributions, domain models can be validly and automatable coupled and used for the virtual development of system elements in model-based systems engineering.
  • Access State: Open Access
  • Rights information: Attribution (CC BY)