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Relative Gain Array Estimation Based on Non-parametric Process Identification for Uncertain Systems
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0001-7598-4815
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0002-5888-8626
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0002-0079-9049
2015 (English)Conference paper, Poster (with or without abstract) (Other academic)
Abstract [en]

Since the introduction of the Relative Gain Array (RGA) by Bristol in 1966, it has become awidely used practical tool for solving the input-output pairing problems in decentralized control. In order to remove the dependency of this tool on a parametric description and accurate knowledge of a nominal model, this work proposes a method to estimate the RGA directly from a non-parametric frequency response matrix (FRM) derived from a frequency domain system identification approach. The proposed method reduces the influence of model uncertainties on the calculation of the RGA and derives the RGA at frequencies of interest. The results are exemplified using a 2x3 LTI systems and a 2x2 uncertain system.

Place, publisher, year, edition, pages
2015.
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-40606Local ID: fcb517f0-f745-4ec9-818a-51dc6c824646OAI: oai:DiVA.org:ltu-40606DiVA: diva2:1014128
Conference
Nordic Process Control Workshop : 16/01/2015 - 17/01/2015
Note
Godkänd; 2015; 20150726 (alikad)Available from: 2016-10-03 Created: 2016-10-03 Last updated: 2017-10-19Bibliographically approved

Open Access in DiVA

fulltext(140 kB)61 downloads
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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • de-DE
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