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New methods for structural and functional analysis of complex processes
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0002-9992-7791
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering.ORCID iD: 0000-0002-5888-8626
2009 (English)In: IEEE International Conference on Control Applications: St. Petersburg, Russia, 8 - 10 July 2009, Piscataway, NJ: IEEE Communications Society, 2009, 487-494 p.Conference paper, Published paper (Refereed)
Abstract [en]

The selection of the structure of a controller in large scale industry processes requires extensive process knowledge. The aim of this paper is to present methods which help designers to comprehend a process by representing structural and functional relationships from actuators and process disturbances to measured or estimated variables. This paper describes similarities between brain connectivity theory and interaction analysis in multivariable processes. Results from both theories are combined to create new methods for the analysis of industry processes. The developed methods are applied to an illustrative example.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2009. 487-494 p.
Series
I E E E International Conference on Control Applications. Proceedings, ISSN 1085-1992
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-34792DOI: 10.1109/CCA.2009.5281062Scopus ID: 74049129535Local ID: 914a0c70-9d2a-11de-a77c-000ea68e967bISBN: 978-1-4244-4602-5 (print)OAI: oai:DiVA.org:ltu-34792DiVA: diva2:1008043
Conference
IEEE Multi-Conference on Systems and Control : 08/07/2009 - 08/07/2009
Note
Validerad; 2009; 20090909 (migcas)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-10-19Bibliographically approved

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Castano, MiguelBirk, Wolfgang
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CiteExportLink to record
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