<div class="csl-bib-body">
<div class="csl-entry">Siafara, L. C., Kholerdi, H., Bratukhin, A., Taherinejad, N., & Jantsch, A. (2018). SAMBA – an architecture for adaptive cognitive control of distributed Cyber-Physical Production Systems based on its self-awareness. <i>Elektrotechnik Und Informationstechnik : E & i</i>, <i>135</i>(3), 270–277. https://doi.org/10.1007/s00502-018-0614-7</div>
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Factories in Industry 4.0 are growing in complexity due to the incorporation of a large number of Cyber-Physical System (CPSs) which are logically and often physically distributed. Traditional monolithic control and monitoring structures are not able to address the increasing requirements regarding flexibility, operational time, and efficiency as well as resilience. Self-Aware health Monitoring and Bio-inspired coordination for distributed Automation systems (SAMBA) is a cognitive application architecture which processes information from the factory floor and interacts with the Manufacturing Execution System (MES) to enable automated control and supervision of decentralized CPSs. The proposed architecture increases the ability of the system to ensure the quality of the process by intelligently adapting to rapidly changing environments and conditions.
en
dc.description.sponsorship
MVIT/FFG under the program ICT of the Futurein the project SAMBA
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dc.language
English
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dc.language.iso
en
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dc.publisher
Springer Wien
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dc.relation.ispartof
Elektrotechnik und Informationstechnik : e & i
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dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
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dc.subject
self-awareness
en
dc.subject
cognitive systems
en
dc.subject
dynamic clustering
en
dc.subject
autonomous collaborating objects
en
dc.subject
system health monitoring
en
dc.title
SAMBA – an architecture for adaptive cognitive control of distributed Cyber-Physical Production Systems based on its self-awareness
en
dc.title.alternative
SAMBA – eine Architektur zur adaptiven kognitiven Kontrolle verteilter cyber-physischer Produktionssysteme basierend auf Self-Awareness
de
dc.type
Article
en
dc.type
Artikel
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dc.rights.license
Creative Commons Namensnennung 4.0 International
de
dc.rights.license
Creative Commons Attribution 4.0 International
en
dc.description.startpage
270
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dc.description.endpage
277
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dc.relation.grantno
855426
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dc.rights.holder
The Author(s) 2018
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dc.type.category
Original Research Article
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tuw.container.volume
135
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tuw.container.issue
3
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tuw.journal.peerreviewed
true
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tuw.peerreviewed
true
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tuw.version
vor
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dcterms.isPartOf.title
Elektrotechnik und Informationstechnik : e & i
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tuw.publication.orgunit
E384 - Institut für Computertechnik
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tuw.publisher.doi
10.1007/s00502-018-0614-7
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dc.identifier.eissn
1613-7620
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dc.identifier.libraryid
AC15324302
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dc.description.numberOfPages
8
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dc.identifier.urn
urn:nbn:at:at-ubtuw:3-5240
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tuw.author.orcid
0000-0002-1295-0332
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tuw.author.orcid
0000-0003-2251-0004
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CC BY 4.0
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dc.rights.identifier
CC BY 4.0
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true
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open
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Open Access
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http://purl.org/coar/resource_type/c_18cf
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http://purl.org/coar/resource_type/c_18cf
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Article
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E384 - Institut für Computertechnik
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E384 - Institut für Computertechnik
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crisitem.author.dept
E384-01 - Forschungsbereich Software-intensive Systems
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crisitem.author.dept
E384-02 - Forschungsbereich Systems on Chip
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E384-02 - Forschungsbereich Systems on Chip
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0000-0003-2251-0004
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E350 - Fakultät für Elektrotechnik und Informationstechnik
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E350 - Fakultät für Elektrotechnik und Informationstechnik
