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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.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
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.2016.09.005ScopusID: 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: 2016-11-01Bibliographically approved

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Castaño Arranz, MiguelBirk, Wolfgang
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