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Consistent Estimators of Stochastic MIMO Wiener Models based on Suboptimal Predictors
KTH, School of Electrical Engineering and Computer Science (EECS), Automatic Control.ORCID iD: 0000-0001-5474-7060
KTH, School of Electrical Engineering and Computer Science (EECS), Automatic Control.ORCID iD: 0000-0002-9368-3079
2018 (English)Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2018.
Keywords [en]
Nonlinear system identification, Multiple-inputs multiple outputs, Wiener Model, Stochastic System, Consistency, Prediction Error Method
National Category
Control Engineering Signal Processing
Research subject
Electrical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-233826DOI: 10.1109/CDC.2018.8618926ISI: 000458114803091Scopus ID: 2-s2.0-85062175030OAI: oai:DiVA.org:kth-233826DiVA, id: diva2:1242889
Conference
57th IEEE Conference on Decision and Control, 17-19 Dec. 2018, Miami Beach, FL, USA
Funder
Swedish Research Council, 2015-05285; 2016-06079
Note

QC 20180904

Available from: 2018-08-29 Created: 2018-08-29 Last updated: 2019-04-04Bibliographically approved

Open Access in DiVA

fulltext(436 kB)132 downloads
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Abdalmoaty, Mohamed R.Hjalmarsson, Håkan
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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • 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
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