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A. Körner, S. Winkler, F. Breitenecker:
"Benchmarking Simulation Models for Dynamic Hybrid Systems";
Talk: UKSim2017-AMSS 19th Intl. Conference on Mathematical Modelling & Computer Simulation, Cambridge, United Kingdom; 2017-04-05 - 2017-04-07; in: "UKSim2017-AMSS 19th Intl. Conference on Mathematical Modelling & Computer Simulation", D. Al-Dabass, A. Orsoni, R. Cant, G. Jenkins (ed.); IEEE, 19 (2017), ISBN: 978-1-5386-2735-8; 91 - 96.

Abstract-This paper will address the difference between
mathematical models and simulation models of a particular
simulation environment for Dynamic Hybrid Systems (DHS).
From the mathematical point of view, there are different
environments available to introduce models for DHS. The
simulation environments offer a more restricted set of modelling
opportunities. In this contribution the difference of
the mathematical model and the simulation model will be
discussed, the influence in different case studies analysed and
a benchmarking proposal presented which relates possibilities
and restrictions.
I. INTRODUCTION TO DHS
The term hybrid systems or dynamic hybrid systems is
often used in different scientific fields for different meanings.
The variation leads from the automotive industry where the
hybrid system is related to the drive chain up to biology
where the two-hybrid-system is addressing an interaction
trap to identify protein interaction.
Although, the research area of this paper is addressed to
the field of modelling and simulation even the use of this
keyword is understood in various ways. The term hybrid is
used to express different system attributes in modelling and
even in simulation the term hybrid leads to different setups.
From an automatic control perspective a definition for
a DHS can be given according to [1] as

http://dx.doi.org/10.1109/UKSim.2017.23