Modeling and simulation of large-scale systems

A systematic comparison of modeling paradigms

Document identifier:
Access full text here:10.1016/j.amc.2019.124713
Keyword: Engineering and Technology, Electrical Engineering, Electronic Engineering, Information Engineering, Control Engineering, Teknik och teknologier, Elektroteknik och elektronik, Reglerteknik, Modeling, Simulation, Physical modeling, Large-scale systems
Publication year: 2020
Relevant Sustainable Development Goals (SDGs):
SDG 9 Industry, innovation and infrastructure
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A trend across most areas where simulation-driven development is used is the ever in- creasing size and complexity of the systems under consideration, pushing established methods of modeling and simulation towards their limits. This paper complements existing surveys on large-scale modeling and simulation of physical systems by conducting expert surveys. We conducted a two-stage empirical survey in order to investigate research needs, current challenges as well as promising modeling and simulation paradigms. Furthermore, we applied the analytic hierarchy process method to prioritise the strengths and weak- ness of different modeling paradigms. The results of this study show that experts consider acausal modeling techniques to be suitable for modeling large scale systems, while causal techniques are considered less suitable.


Gerald Schweiger

Graz University of Technology, Austria
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Henrik Nilsson

University of Nottingham, UK
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Josef Peter Schöggl

KTH, Royal Institute of Technology, Sweden
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Wolfgang Birk

Luleå tekniska universitet; Signaler och system
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Alfred Posch

University of Graz, Austria
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