<div class="csl-bib-body">
<div class="csl-entry">Winkler, S., Körner, A., & Breitenecker, F. (2021). Modelling framework for artificial hybrid dynamical systems. <i>Nonlinear Analysis: Hybrid Systems</i>, <i>42</i>, Article 101072. https://doi.org/10.1016/j.nahs.2021.101072</div>
</div>
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dc.identifier.issn
1751-570X
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/138372
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dc.description.abstract
Many current industry branches use hybrid approaches to solve complex application problems. Over the last decades, different tools for the simulation of such hybrid systems (e.g. Hysdel and YAMLIP) as well as the identification of hybrid systems (e.g. HIT, MLP and OAF NN) have been developed. The framework presented in this work facilitates the integration of artificial feed-forward neural networks in the modelling process of hybrid dynamical systems (HDS).
en
dc.language.iso
en
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dc.relation.ispartof
Nonlinear Analysis: Hybrid Systems
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dc.subject
Computer Science Applications
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dc.subject
Control and Systems Engineering
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dc.subject
Analysis
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dc.subject
Neural networks
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dc.subject
Hybrid dynamical systems
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dc.subject
Modelling benchmark
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dc.subject
Hybrid neural networks
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dc.subject
Hybrid modelling framework
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dc.title
Modelling framework for artificial hybrid dynamical systems
en
dc.type
Artikel
de
dc.type
Article
en
dc.type.category
Original Research Article
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tuw.container.volume
42
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tuw.journal.peerreviewed
true
-
tuw.peerreviewed
true
-
dcterms.isPartOf.title
Nonlinear Analysis: Hybrid Systems
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tuw.publication.orgunit
E101-03 - Forschungsbereich Scientific Computing and Modelling
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tuw.publisher.doi
10.1016/j.nahs.2021.101072
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dc.identifier.articleid
101072
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dc.identifier.eissn
1878-7460
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dc.description.numberOfPages
29
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tuw.author.orcid
0000-0001-7116-1707
-
wb.sci
true
-
wb.sciencebranch
Mathematik
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wb.sciencebranch
Informatik
-
wb.sciencebranch.oefos
1010
-
wb.sciencebranch.oefos
1020
-
wb.facultyfocus
Analysis und Scientific Computing
de
wb.facultyfocus
Analysis and Scientific Computing
en
wb.facultyfocus.faculty
E100
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item.cerifentitytype
Publications
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item.openairetype
research article
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item.grantfulltext
none
-
item.openairecristype
http://purl.org/coar/resource_type/c_2df8fbb1
-
item.languageiso639-1
en
-
item.fulltext
no Fulltext
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crisitem.author.dept
E101-03 - Forschungsbereich Scientific Computing and Modelling
-
crisitem.author.dept
E060-03-1 - Fachgruppe Blended Learning - Methods and Applications
-
crisitem.author.dept
E101 - Institut für Analysis und Scientific Computing
-
crisitem.author.orcid
0000-0001-7116-1707
-
crisitem.author.parentorg
E101 - Institut für Analysis und Scientific Computing
-
crisitem.author.parentorg
E060-03 - Fachbereich Studieneingangs- und erfolgsmanagement
