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SAMOS
2015
Springer

A framework for reducing the modeling and simulation complexity of Cyberphysical Systems

4 years 2 months ago
A framework for reducing the modeling and simulation complexity of Cyberphysical Systems
—As systems continue to evolve they rely less on human decision-making and more on computational intelligence. This trend in conjunction to the available technologies for providing advanced sensing, measurement, process control, and communication leads us towards the new field of Cyber-Physical System (CPS). Although these systems exhibit remarkable characteristics, the increased complexity imposed by numerous components and services makes their design extremely difficult. This paper proposes a software-supported framework for reducing the design complexity regarding the modeling, as well as the simulation of CPS. For this purpose, a novel technique based on system scenarios is applied. Evaluation results prove the effectiveness of introduced framework, as we achieve to reduce mentionable the modeling and simulation complexity with a controllable overhead in accuracy.
Nikolaos Zompakis, Kostas Siozios
Added 17 Apr 2016
Updated 17 Apr 2016
Type Journal
Year 2015
Where SAMOS
Authors Nikolaos Zompakis, Kostas Siozios
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