Hybrid System Model Simulation Framework for Cyber-Physical Systems

Soo Young Moon; Hyuk Park; Tae Ho Cho; Won Tae Kim

doi:10.4028/www.scientific.net/AMM.110-116.4043

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 110-116Hybrid System Model Simulation Framework for...

Hybrid System Model Simulation Framework for Cyber-Physical Systems

Abstract:

Most of existing frameworks for modeling and simulation of hybrid systems represent continuous behavior of systems using ordinary differential equations (ODEs). ODE models can be represented as discrete event system specification (DEVS) models through discretization and simulated in the DEVS simulation framework. However, in cyber-physical systems (CPS), it is difficult to represent the continuous behavior of a system using an ODE because it can have unknown, unpredictable variables. In that case, it is needed to predict the model’s next event time by inference to embed the model in a DEVS model. We propose the simulation framework in which a fuzzy inference module is added to each simulation model to determine its next event time. The proposed method enables simulation of hybrid system models which can or cannot be represented using an ODE.

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Periodical:

Applied Mechanics and Materials (Volumes 110-116)

Pages:

4043-4049

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.110-116.4043

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Online since:

October 2011

Authors:

Soo Young Moon, Hyuk Park, Tae Ho Cho, Won Tae Kim

Keywords:

Cyber-Physical Systems, Fuzzy Logic, Hybrid System, Simulation Framework

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