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An identification algorithm for Hammerstein-Wiener system with dead zone input nonlinearity using gradient method

contributor authorHyokChan Hong , Zhizhong Mao
date accessioned2020-03-12T20:07:15Z
date available2020-03-12T20:07:15Z
date issued2014
identifier other6852596.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1002625?locale-attribute=en&show=full
formatgeneral
languageEnglish
publisherIEEE
titleAn identification algorithm for Hammerstein-Wiener system with dead zone input nonlinearity using gradient method
typeConference Paper
contenttypeMetadata Only
identifier padid8123701
subject keywordsAdaptive algorithms
subject keywordsAdaptive filters
subject keywordsCompressed sensing
subject keywordsConvergence
subject keywordsLeast squares approximations
subject keywordsSteady-state
subject keywordsVectors
subject keywordsProportionate normalized least mean squares (PNLMS)
subject keywordscompressed sensing
subject keywordsiterative hard thresholding (IHT)
subject keywordsmean square deviation (MSD)
identifier doi10.1109/APSIPA.2014.7041807
journal titleontrol and Decision Conference (2014 CCDC), The 26th Chinese
filesize144918
citations0


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