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General Information
    • ISSN: 2010-3697  (Online)
    • Abbreviated Title: Int. J. Model. Optim.
    • Frequency: Bimonthly
    • DOI: 10.7763/IJMO
    • Editor-in-Chief: Prof. Adrian Olaru
    • Executive Editor: Ms.Yoyo Y. Zhou
    • Abstracting/ Indexing: ProQuest, Crossref, Electronic Journals Library, Google Scholar, EI (INSPEC, IET), EBSCO, etc.
    • E-mail ijmo@iacsitp.com
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2013 Vol.3(5): 402-406 ISSN: 2010-3697
DOI: 10.7763/IJMO.2013.V3.308

Dynamic Sampling for FOCUS Hybrid Components

Alarico Campetelli
Abstract—The combination of embedded systems with physical components, termed Cyber-Physical Systems (CPSs), poses important challenges in the design, modelling, simulation and verification of systems, also why they combine discrete software elaborations with analogues time evolutions and different engineering disciplines. In this domain, the software part is increasing the dimension and has a more important role. An important formalism for describing continuous and discrete systems is the hybrid system formalism. We present our approach based on the FOCUS modelling theory to model hybrid systems, which have discrete transitions and continuous differential equations. The modular and logical structure of FOCUS components combined with hybrid systems improves the support for the modelling of CPSs. Anyway, a fully continuous simulation may be too complex and not represent the final hardware where the model will be deployed. Therefore, we propose two sampling techniques to transform the continuous time in discrete steps, in which the length of the sampling period it is dynamically changed. Index Terms—Hybrid systems, embedded

Index Terms—Hybrid systems, embedded systems, model-based development, sampling, hybrid systems simulation.

Alarico Campetelli is with the Technische Universität München, Institut für Informatik, Garching bei Müunchen, 85748, Germany (e-mail: campetel@in.tum.de).


Cite:Alarico Campetelli, "Dynamic Sampling for FOCUS Hybrid Components," International Journal of Modeling and Optimization vol. 3, no. 5, pp. 402-406, 2013.

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