An Integrated Intelligent Modeling and Simulation Language for Model-based Systems Engineering

  • Lin Zhang
  • , Fei Ye*
  • , Kunyu Xie
  • , Pengfei Gu
  • , Xiaohan Wang
  • , Yuanjun Laili
  • , Chun Zhao
  • , Xuesong Zhang
  • , Minjie Chen
  • , Tingyu Lin
  • , Zhen Chen
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Modeling and simulation are now leading the way in supporting analysis and development of system of systems. At present, to support the unified modeling formalism and dynamic simulation for different domain specific models across MBSE process, system modeling languages (such as SysML) are often required to cooperate with multi-physics modeling languages and simulation platforms (such as Modelica, Simulink), which makes it challenging to ensure the true unity of the whole system models, the consistency between the various system layers and the traceability of the modeling and simulation processes. In response to the above problems, this paper develops a new integrated intelligent modeling and simulation language, which can uniformly describe the system-level architecture and physical behavior models as a whole. On this basis, models can be simulated directly to support system verification for MBSE. Compiler and simulation engine are developed to enable X language to support the simulation of continuous, discrete event and agent models. Finally, an intelligent car system is taken as a case to verify the modeling and simulation capabilities of X language.

Original languageEnglish
Article number100347
JournalJournal of Industrial Information Integration
Volume28
DOIs
StatePublished - Jul 2022

Keywords

  • Integration
  • Intelligent
  • Model-based systems engineering
  • Modeling and simulation language
  • Verification

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