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

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.