1920212223242522 of 92
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Dynamic Relative Gain Array Estimation using Local Polynomial Approximation 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: 0000-0002-5888-8626
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0002-9992-7791
2016 (English)In: Model, Identificationand Control, ISSN 1890-1328, Vol. 37, no 4, p. 247-259Article in journal (Refereed) Published
Abstract [en]

This article presents a procedure that utilizes the local polynomial approximation approach in the estimation of the Dynamic Relative Gain Array (DRGA) matrix and its uncertainty bounds for weakly nonlinear systems. This procedure offers enhanced frequency resolution and noise reduction when random excitation is used. It also allows separation of nonlinear distortions with shorter measuring time when multisine excitation is imposed. The procedure is illustrated using the well-known quadruple tank process as a case study in simulation and in real life. Besides, a comparison with the pairing results of the static RGA, nonlinear RGA and DRGA based on linearized quadruple tank model for different simulation cases is performed.

Place, publisher, year, edition, pages
Norwegian Society of Automatic Control (NFA) , 2016. Vol. 37, no 4, p. 247-259
Keywords [en]
Dynamic Relative Gain Array, nonparametric identification, local polynomial approximation approach, weakly nonlinear systems
National Category
Control Engineering Other Civil Engineering
Research subject
Control Engineering; Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-76251DOI: 10.4173/mic.2016.4.5OAI: oai:DiVA.org:ltu-76251DiVA, id: diva2:1357960
Available from: 2019-10-05 Created: 2019-10-05 Last updated: 2019-10-07Bibliographically approved

Open Access in DiVA

fulltext(902 kB)1 downloads
File information
File name FULLTEXT01.pdfFile size 902 kBChecksum SHA-512
19dc6bf4973a4acb691a4ae788c52875696f0cfd8362943e060db4a6530a5e43f04d790da8bd9a22c7be0249733beac75d14f81c447b7dbe6f32b46ecf2d1029
Type fulltextMimetype application/pdf

Other links

Publisher's full texthttp://www.mic-journal.no/ABS/MIC-2016-4-5.asp

Authority records BETA

Kadhim, AliBirk, WolfgangArranz, Miguel Castano

Search in DiVA

By author/editor
Kadhim, AliBirk, WolfgangArranz, Miguel Castano
By organisation
Signals and Systems
Control EngineeringOther Civil Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 1 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 2 hits
1920212223242522 of 92
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf