Agent-Based Modeling and Simulation of Hybrid Cyber-Physical Systems

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F17%3A00315887" target="_blank" >RIV/68407700:21230/17:00315887 - isvavai.cz</a>

Alternative codes found

RIV/68407700:21730/17:00315887

Result on the web

<a href="http://ieeexplore.ieee.org/document/7985755/" target="_blank" >http://ieeexplore.ieee.org/document/7985755/</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/CYBConf.2017.7985755" target="_blank" >10.1109/CYBConf.2017.7985755</a>

Result language

angličtina

Original language name

Agent-Based Modeling and Simulation of Hybrid Cyber-Physical Systems

Original language description

Cyber-physical production systems are becoming more complex and heterogeneous in the frame of Internet of Cyber-Physical Things and Industry 4.0 environments. Behavior of such systems is difficult to analyze and control due to the system scale and emergency aspects. Multi-agent paradigm is a suitable formalism for modeling these kinds of systems and simulation modeling is important for getting an insight into the system, for synthesizing its control, and for analyzing performance and efficiency of systems under various circumstances. This paper is focused on simulation modeling for complex hybrid cyber-physical production systems. They combine continuous-time parts and discrete-event parts and the goal is to bring a methodology for addressing simulation for such complex hybrid systems. The paper presents two possible approaches how to unify access to both paradigms for system modeling and it explains how to combine them meaningfully. The proposed solution is based on the application of the traditional time-driven approach on the level of individual agents simulating cyber-physical components or sub-systems, and the dual value-driven approach frequently denoted as Quantized State Systems method in such a way that the benefits of both approaches are gained. The proposed approach simplifies synchronization and improves stability of coupled simulations by self-optimization of sampling periods for synchronizing the simulation agents for cyber-physical components.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

20205 - Automation and control systems

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2017

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

2017 3rd IEEE International Conference on Cybernetics (CYBCON 2017)

ISBN

978-1-5386-2201-8

ISSN

2475-6113

e-ISSN

—

Number of pages

8

Pages from-to

175-182

Publisher name

IEEE (Institute of Electrical and Electronics Engineers)

Place of publication

—

Event location

Exeter

Event date

Jun 21, 2017

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000414302500028