Model-driven methods to design of reliable multiagent cyber-physical systems

Sergey Staroletov, Nikolay Shilov, Vladimir Zyubin, Tatiana Liakh, Andrei Rozov, Ivan Konyukhov, Innokenty Shilov, Thomas Baar, Horst Schulte

Research output: Contribution to journalConference articlepeer-review

2 Citations (Scopus)


Cyber-Physical Systems (CPS) are real-world systems that use a cyber part to control a physical part; hybrid systems are virtual-world systems to model CPS. In this paper we address several problems related to CPS-design and argue advantages of a Model-Driven Developing (MDD) approach to CPS-design. We study a simple car stopping system and show that such systems can be modeled without any code writing. However, safety isn’t clear even for this simple system and testing/simulation isn’t sufficient to prove safety, but CPS MDD should be supported by a formal verification also. We examine modeling, simulation and verification tools and show how our approach can be applied. We also introduce a concept of cyber-physical Believe-Desire-Intention (BDI) agent and demonstrate how cooperative agents of this type can predict locations of partners.

Original languageEnglish
Pages (from-to)74-91
Number of pages18
JournalCEUR Workshop Proceedings
Publication statusPublished - 1 Jan 2019
Event2019 Modeling and Analysis of Complex Systems and Processes Workshop, MACSPro 2019 - Vienna, Austria
Duration: 21 Mar 201923 Mar 2019


  • Believe-desire-intention agents
  • Cyber-physical systems
  • Model-driven developing


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