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Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F13%3A00206741%21RIV14-MSM-21230___
rdf:type
skos:Concept n12:Vysledek
dcterms:description
This paper makes a step towards practical applicability of the optimal control for industrial penicillin production. Using the nonlinear gradient method as the key optimization tool, two ways of measurement feedback incorporation into the optimization procedure are proposed. Firstly, the receding horizon approach (whose linear variant is widely spreading in the field of operation of various industrial processes) is investigated considering different lengths of optimization horizon. Secondly, the shrinking horizon approach inspired by the character of the solved task with terminal criterion is examined. In order to make the latter comparable to the receding horizon approach, various sampling periods of the input signal are considered. Utilization of the nonlinear continuous time model of the controlled process clearly distinguishes this paper from the earlier publications. The behavior of both approaches is tested on a set of numerical experiments with the focus on performance under constrained computational resources. The obtained results demonstrate the superiority of shrinking horizon approach and its strong computational restriction resistance. This paper makes a step towards practical applicability of the optimal control for industrial penicillin production. Using the nonlinear gradient method as the key optimization tool, two ways of measurement feedback incorporation into the optimization procedure are proposed. Firstly, the receding horizon approach (whose linear variant is widely spreading in the field of operation of various industrial processes) is investigated considering different lengths of optimization horizon. Secondly, the shrinking horizon approach inspired by the character of the solved task with terminal criterion is examined. In order to make the latter comparable to the receding horizon approach, various sampling periods of the input signal are considered. Utilization of the nonlinear continuous time model of the controlled process clearly distinguishes this paper from the earlier publications. The behavior of both approaches is tested on a set of numerical experiments with the focus on performance under constrained computational resources. The obtained results demonstrate the superiority of shrinking horizon approach and its strong computational restriction resistance.
dcterms:title
Enhancement of Practical Applicability of Optimal Control of a Nonlinear Process Enhancement of Practical Applicability of Optimal Control of a Nonlinear Process
skos:prefLabel
Enhancement of Practical Applicability of Optimal Control of a Nonlinear Process Enhancement of Practical Applicability of Optimal Control of a Nonlinear Process
skos:notation
RIV/68407700:21230/13:00206741!RIV14-MSM-21230___
n12:predkladatel
n14:orjk%3A21230
n3:aktivita
n9:I
n3:aktivity
I
n3:dodaniDat
n4:2014
n3:domaciTvurceVysledku
Pčolka, Matej n19:1424181
n3:druhVysledku
n18:D
n3:duvernostUdaju
n13:S
n3:entitaPredkladatele
n21:predkladatel
n3:idSjednocenehoVysledku
72942
n3:idVysledku
RIV/68407700:21230/13:00206741
n3:jazykVysledku
n20:eng
n3:klicovaSlova
optimal control; nonlinear systems; numerical optimization
n3:klicoveSlovo
n10:optimal%20control n10:numerical%20optimization n10:nonlinear%20systems
n3:kontrolniKodProRIV
[4DF01A23E59D]
n3:mistoKonaniAkce
Washington
n3:mistoVydani
Piscataway
n3:nazevZdroje
Proceedings of the 2013 American Control Conference
n3:obor
n15:BC
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:rokUplatneniVysledku
n4:2013
n3:tvurceVysledku
Pčolka, Matej Čelikovský, Sergej
n3:typAkce
n11:WRD
n3:wos
000327210205032
n3:zahajeniAkce
2013-06-17+02:00
s:issn
0743-1619
s:numberOfPages
6
n17:hasPublisher
IEEE
n7:isbn
978-1-4799-0177-7
n16:organizacniJednotka
21230