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Statements

Subject Item
n2:RIV%2F00216305%3A26220%2F14%3APU108750%21RIV15-MSM-26220___
rdf:type
n14:Vysledek skos:Concept
dcterms:description
In this paper we focused on methods for offline identification of bounded autoregressive polynomials models. Firstly we used classical least square (LS) method for identification. Secondly we used total least square (TLS) method and thirdly we used gradient based method Levenberg-Marquardt for identification. Bounded AR polynomial models are basically nonlinear in parameters but the models can be modified to linear dependencies on parameters if bounding function is irreversible. Levenberg-Marquardt method was applied to unmodified bounded AR polynomial models. Input/Output data was generated from the model of isothermal continuous stirred-tank reactor with and without additive noise. Finally all methods are compared on one-step and multi-step predictions. In this paper we focused on methods for offline identification of bounded autoregressive polynomials models. Firstly we used classical least square (LS) method for identification. Secondly we used total least square (TLS) method and thirdly we used gradient based method Levenberg-Marquardt for identification. Bounded AR polynomial models are basically nonlinear in parameters but the models can be modified to linear dependencies on parameters if bounding function is irreversible. Levenberg-Marquardt method was applied to unmodified bounded AR polynomial models. Input/Output data was generated from the model of isothermal continuous stirred-tank reactor with and without additive noise. Finally all methods are compared on one-step and multi-step predictions.
dcterms:title
Comparison of Offline Identification Methods on Bounded AutoRegressive Polynomial Models Comparison of Offline Identification Methods on Bounded AutoRegressive Polynomial Models
skos:prefLabel
Comparison of Offline Identification Methods on Bounded AutoRegressive Polynomial Models Comparison of Offline Identification Methods on Bounded AutoRegressive Polynomial Models
skos:notation
RIV/00216305:26220/14:PU108750!RIV15-MSM-26220___
n4:aktivita
n8:S
n4:aktivity
S
n4:dodaniDat
n16:2015
n4:domaciTvurceVysledku
n18:6874630
n4:druhVysledku
n10:D
n4:duvernostUdaju
n6:S
n4:entitaPredkladatele
n9:predkladatel
n4:idSjednocenehoVysledku
8145
n4:idVysledku
RIV/00216305:26220/14:PU108750
n4:jazykVysledku
n12:eng
n4:klicovaSlova
LS, TLS, nonlinear, polynomial, identification
n4:klicoveSlovo
n5:identification n5:nonlinear n5:TLS n5:polynomial n5:LS
n4:kontrolniKodProRIV
[7628B6425989]
n4:mistoKonaniAkce
Velké Karlovice
n4:mistoVydani
Neuveden
n4:nazevZdroje
15th International Carpathian Control Conference - ICCC 2014
n4:obor
n17:BC
n4:pocetDomacichTvurcuVysledku
1
n4:pocetTvurcuVysledku
2
n4:rokUplatneniVysledku
n16:2014
n4:tvurceVysledku
Pivoňka, Petr Lebeda, Aleš
n4:typAkce
n11:CST
n4:zahajeniAkce
2014-05-28+02:00
s:numberOfPages
5
n20:hasPublisher
Neuveden
n13:isbn
978-1-4799-3527-7
n15:organizacniJednotka
26220