Hafner, I., & Popper, N. (2022). Convergence Properties of Hierarchical Co-simulation Approaches. In Software Engineering and Formal Methods. SEFM 2021 Collocated Workshops (pp. 156–172). https://doi.org/10.1007/978-3-031-12429-7_12
E105-06 - Forschungsbereich Computational Statistics E194-04 - Forschungsbereich Data Science
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Published in:
Software Engineering and Formal Methods. SEFM 2021 Collocated Workshops
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ISBN:
978-3-031-12429-7
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Volume:
13230
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Date (published):
2022
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Event name:
SEFM 2021: the 19th International Conference on Software Engineering and Formal Methods
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Event date:
6-Dec-2021 - 10-Dec-2021
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Event place:
USA, Kazakhstan, UK, United States of America (the)
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Number of Pages:
17
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Peer reviewed:
Yes
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Keywords:
Co-simulation; Consistency; Hierarchy
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Abstract:
In this paper, local error estimates for hierarchical co-simulation approaches are presented. In hierarchical structures, systems with stronger dependencies on one another, which frequently occur in large-scale cyber-physical systems, may be combined in further co-simulations on one or more lower levels. This allows the selection of individual synchronization times for subsystems in these co-simulations. The estimates presented in this paper show that with this approach, no additional errors compared to traditional co-simulation are to be expected: on the contrary, results from the simulation of a benchmark example show that in case of sensible selection of lower-level couplings, accuracy and stability may even be increased as error propagation slows down.
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Research Areas:
Mathematical and Algorithmic Foundations: 20% Computer Science Foundations: 20% Modeling and Simulation: 60%
