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Relative Gain Array of Weakly Nonlinear Systems using a Nonparametric Identification Approach
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: 0000-0002-9992-7791
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)In: 2015 IEEE International Conference on Control Applications (CCA 2015): Sydney, Australia, September 21-23, Piscataway, NJ: IEEE Communications Society, 2015, 1612-1617 p., 7320840Conference paper, Published paper (Refereed)
Abstract [en]

This article presents a procedure to estimate the relative gain array (RGA) matrix for weakly nonlinear systems by means of nonparametric identification of the frequency response matrix (FRM). Specifically, the best linear approximation of nonlinear systems and the covariance of the nonlinear distortions are used in the relative gain array estimation. For the estimation neither process model nor model structure need to be known which is an advantage over methods that require accurate knowledge of a parametric process model. The proposed approach is compared with the original RGA and a nonlinear RGA calculation using the well-known quadruple tank process as a case

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2015. 1612-1617 p., 7320840
Series
I E E E International Conference on Control Applications. Proceedings, ISSN 1085-1992
National Category
Control Engineering Signal Processing
Research subject
Control Engineering; Signal Processing
Identifiers
URN: urn:nbn:se:ltu:diva-40297DOI: 10.1109/CCA.2015.7320840Scopus ID: 84964355520Local ID: f5fd5d67-cccf-4910-9d34-0fbcbe476a16ISBN: 978-1-4799-7787-1 (electronic)OAI: oai:DiVA.org:ltu-40297DiVA: diva2:1013819
Conference
IEEE International Conference on Control Applications : 21/09/2015 - 23/09/2015
Note
Validerad; 2016; Nivå 1; 20150717 (wolfgang)Available from: 2016-10-03 Created: 2016-10-03 Last updated: 2017-11-25Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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