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Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F12%3A00193605%21RIV13-MPO-21230___
rdf:type
n17:Vysledek skos:Concept
dcterms:description
Most of the industrial applications are multiple-input multiple-output (MIMO) systems that can be identified using the knowledge of the system's physics or from measured data employing statistical methods. Currently, there is the only class of statistical identification methods capable of handling the issue of the vast MIMO systems - subspace identification methods. These methods, however, as all the statistical methods, need data of a certain quality, i.e., excitation of the corresponding order, no data corruption, etc. Nevertheless, combination of the statistical methods and a physical knowledge of the system could significantly improve system identification. This paper presents a new algorithm which provides remedy to the insufficient data quality of a certain kind through incorporation of the prior information, namely a known static gain and an input-output feed-through. The presented algorithm naturally extends classical subspace identification algorithms, that is, it adds extra equations into the computation of the system matrices. The performance of the algorithm is shown on a case study and compared to the current methods, where the model is used for an MPC control of a large building heating system. Most of the industrial applications are multiple-input multiple-output (MIMO) systems that can be identified using the knowledge of the system's physics or from measured data employing statistical methods. Currently, there is the only class of statistical identification methods capable of handling the issue of the vast MIMO systems - subspace identification methods. These methods, however, as all the statistical methods, need data of a certain quality, i.e., excitation of the corresponding order, no data corruption, etc. Nevertheless, combination of the statistical methods and a physical knowledge of the system could significantly improve system identification. This paper presents a new algorithm which provides remedy to the insufficient data quality of a certain kind through incorporation of the prior information, namely a known static gain and an input-output feed-through. The presented algorithm naturally extends classical subspace identification algorithms, that is, it adds extra equations into the computation of the system matrices. The performance of the algorithm is shown on a case study and compared to the current methods, where the model is used for an MPC control of a large building heating system.
dcterms:title
Incorporation of system steady state properties into subspace identification algorithm Incorporation of system steady state properties into subspace identification algorithm
skos:prefLabel
Incorporation of system steady state properties into subspace identification algorithm Incorporation of system steady state properties into subspace identification algorithm
skos:notation
RIV/68407700:21230/12:00193605!RIV13-MPO-21230___
n17:predkladatel
n18:orjk%3A21230
n3:aktivita
n15:P
n3:aktivity
P(2A-1TP1/084)
n3:cisloPeriodika
2
n3:dodaniDat
n8:2013
n3:domaciTvurceVysledku
n19:1741462 n19:3601315 Prívara, Samuel n19:8632529
n3:druhVysledku
n16:J
n3:duvernostUdaju
n6:S
n3:entitaPredkladatele
n11:predkladatel
n3:idSjednocenehoVysledku
141096
n3:idVysledku
RIV/68407700:21230/12:00193605
n3:jazykVysledku
n20:eng
n3:klicovaSlova
subspace identification; prior information; steady state properties; MPC; model predictive control; building heating systems
n3:klicoveSlovo
n5:subspace%20identification n5:model%20predictive%20control n5:prior%20information n5:MPC n5:steady%20state%20properties n5:building%20heating%20systems
n3:kodStatuVydavatele
CH - Švýcarská konfederace
n3:kontrolniKodProRIV
[FDB6DFEEF5E3]
n3:nazevZdroje
International Journal of Modelling, Identification and Control
n3:obor
n4:BC
n3:pocetDomacichTvurcuVysledku
4
n3:pocetTvurcuVysledku
4
n3:projekt
n13:2A-1TP1%2F084
n3:rokUplatneniVysledku
n8:2012
n3:svazekPeriodika
16
n3:tvurceVysledku
Váňa, Zdeněk Cigler, Jiří Ferkl, Lukáš Prívara, Samuel
s:issn
1746-6172
s:numberOfPages
19
n9:doi
10.1504/IJMIC.2012.047123
n14:organizacniJednotka
21230