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On the selection of control configurations for uncertain systems using gramian-based Interaction Measures
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, Signals and Systems.ORCID iD: 0000-0002-5888-8626
Number of Authors: 2
2016 (English)In: Journal of Process Control, ISSN 0959-1524, E-ISSN 1873-2771, Vol. 47, 213-225 p.Article in journal (Refereed) Published
Abstract [en]

critical step in the control design of industrial processes is the Control Configuration Selection (CCS), where each actuator is associated with a set of measurements which will be used in the calculation of the control action.

A possible solution to the CCS problem is given by the gramian-based Interaction Measures (IMs), which are derived from nominal process models. This paper introduces the derivation of uncertainty bounds for a gramian-based IM using models with uncertainty described in multiplicative form. An alternative to this model-based approach is presented, where uncertainty bounds are estimated from a tailored experiment.

In addition, a procedure for robust CCS is introduced. This procedure integrates the calculated uncertainty bounds in the design of the control configuration.

Place, publisher, year, edition, pages
2016. Vol. 47, 213-225 p.
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-59564DOI: 10.1016/j.jprocont.2016.09.005ISI: 000388054500018Scopus ID: 2-s2.0-84990048320OAI: oai:DiVA.org:ltu-59564DiVA: diva2:1033479
Note

Validerad; 2016; Nivå 2; 2016-10-07 (andbra)

Available from: 2016-10-07 Created: 2016-10-07 Last updated: 2017-01-19Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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  • de-DE
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Output format
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