<div class="csl-bib-body">
<div class="csl-entry">Hafner, I., & Popper, N. (2022). Convergence Properties of Hierarchical Co-simulation Approaches. In <i>Software Engineering and Formal Methods. SEFM 2021 Collocated Workshops</i> (pp. 156–172). https://doi.org/10.1007/978-3-031-12429-7_12</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/150218
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dc.description.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.
en
dc.language.iso
en
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dc.relation.ispartofseries
Lecture Notes in Computer Science
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dc.subject
Co-simulation
en
dc.subject
Consistency
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dc.subject
Hierarchy
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dc.title
Convergence Properties of Hierarchical Co-simulation Approaches
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.relation.isbn
978-3-031-12429-7
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dc.description.startpage
156
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dc.description.endpage
172
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dc.type.category
Full-Paper Contribution
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tuw.booktitle
Software Engineering and Formal Methods. SEFM 2021 Collocated Workshops