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Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F06%3A03118562%21RIV07-GA0-21230___
rdf:type
skos:Concept n13:Vysledek
dcterms:description
Není k dispozici Real time system parameter estimation from the set of input-output data is usually solved by minimization of quadratic norm errors of system equations - known in the literature as least squares (LS) or mixed LS and TLS. It is known that the utilization of the p-norm instead of the quadratic norm suppresses the wrong measurements (outliers) in tha data. This property is shown for different norms, and it is shown that the influence of outliers is suppressed if p→1. Also optimal predictive control utilizing p-norm minimization of the criterion is developed, and the simulation results show the properties of such control. Real time system parameter estimation from the set of input-output data is usually solved by minimization of quadratic norm errors of system equations - known in the literature as least squares (LS) or mixed LS and TLS. It is known that the utilization of the p-norm instead of the quadratic norm suppresses the wrong measurements (outliers) in tha data. This property is shown for different norms, and it is shown that the influence of outliers is suppressed if p→1. Also optimal predictive control utilizing p-norm minimization of the criterion is developed, and the simulation results show the properties of such control.
dcterms:title
Není k dispozici Identification and Predictive Control by p-norm Minimization Identification and Predictive Control by p-norm Minimization
skos:prefLabel
Identification and Predictive Control by p-norm Minimization Není k dispozici Identification and Predictive Control by p-norm Minimization
skos:notation
RIV/68407700:21230/06:03118562!RIV07-GA0-21230___
n3:strany
33;38
n3:aktivita
n7:P
n3:aktivity
P(GA102/05/0903), P(GA102/05/2075), P(LA 275)
n3:cisloPeriodika
1
n3:dodaniDat
n14:2007
n3:domaciTvurceVysledku
n16:3021580
n3:druhVysledku
n9:J
n3:duvernostUdaju
n10:S
n3:entitaPredkladatele
n6:predkladatel
n3:idSjednocenehoVysledku
478694
n3:idVysledku
RIV/68407700:21230/06:03118562
n3:jazykVysledku
n18:eng
n3:klicovaSlova
ARX model; identification; iteratively reweighted least squares; linear programming; p-norm; predictive control
n3:klicoveSlovo
n5:linear%20programming n5:ARX%20model n5:p-norm n5:identification n5:predictive%20control n5:iteratively%20reweighted%20least%20squares
n3:kodStatuVydavatele
CZ - Česká republika
n3:kontrolniKodProRIV
[4B0738B8D0F0]
n3:nazevZdroje
Acta Polytechnica
n3:obor
n12:BC
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
2
n3:projekt
n15:GA102%2F05%2F0903 n15:LA%20275 n15:GA102%2F05%2F2075
n3:rokUplatneniVysledku
n14:2006
n3:svazekPeriodika
46
n3:tvurceVysledku
Pekař, J. Štecha, Jan
s:issn
1210-2709
s:numberOfPages
6
n17:organizacniJednotka
21230