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Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F12%3A00195485%21RIV13-MSM-21230___
rdf:type
n3:Vysledek skos:Concept
dcterms:description
Fermentation processes as a class of biological processes containing the growth of the biomass (bacteria, yeasts) resulting from the consumption of essential substrate supplies (source of carbon, nitrogen, oxygen, etc.) constitute a very delicate challenge from the control point of view. Nonlinearities and complicated dynamics of the biomass growth followed by the production of various products (from which especially the variety of antibiotics makes the fermentation processes attractive for the industrial utilization) come hand in hand with the attractivity and going along with high level of uncertainty and difficult online measurement of the process variables turn attempts on optimal control of the fermentation process into a rather complicated task. Gradient method whose theory (partially adapted and fully implemented by authors of this paper) suggests a possible way of handling these issues combined with a fresh control strategy of fixed volume proves a significantly better performance on a set of numerical experiments than other known methods. Moreover, model structure used in the previous work has been modified so that it corresponds with a fresh optimization strategy which stands for the main contribution of this paper. Fermentation processes as a class of biological processes containing the growth of the biomass (bacteria, yeasts) resulting from the consumption of essential substrate supplies (source of carbon, nitrogen, oxygen, etc.) constitute a very delicate challenge from the control point of view. Nonlinearities and complicated dynamics of the biomass growth followed by the production of various products (from which especially the variety of antibiotics makes the fermentation processes attractive for the industrial utilization) come hand in hand with the attractivity and going along with high level of uncertainty and difficult online measurement of the process variables turn attempts on optimal control of the fermentation process into a rather complicated task. Gradient method whose theory (partially adapted and fully implemented by authors of this paper) suggests a possible way of handling these issues combined with a fresh control strategy of fixed volume proves a significantly better performance on a set of numerical experiments than other known methods. Moreover, model structure used in the previous work has been modified so that it corresponds with a fresh optimization strategy which stands for the main contribution of this paper.
dcterms:title
Towards Enhancement of Antibiotics Production: Optimal Control Design Towards Enhancement of Antibiotics Production: Optimal Control Design
skos:prefLabel
Towards Enhancement of Antibiotics Production: Optimal Control Design Towards Enhancement of Antibiotics Production: Optimal Control Design
skos:notation
RIV/68407700:21230/12:00195485!RIV13-MSM-21230___
n3:predkladatel
n17:orjk%3A21230
n4:aktivita
n6:I
n4:aktivity
I
n4:dodaniDat
n7:2013
n4:domaciTvurceVysledku
n15:3139441 Pčolka, Matej
n4:druhVysledku
n8:O
n4:duvernostUdaju
n10:S
n4:entitaPredkladatele
n16:predkladatel
n4:idSjednocenehoVysledku
174709
n4:idVysledku
RIV/68407700:21230/12:00195485
n4:jazykVysledku
n12:eng
n4:klicovaSlova
Fermentation Process; Antibiotics Production; Optimal Control
n4:klicoveSlovo
n5:Antibiotics%20Production n5:Optimal%20Control n5:Fermentation%20Process
n4:kontrolniKodProRIV
[CD835EDD60B0]
n4:obor
n9:BC
n4:pocetDomacichTvurcuVysledku
2
n4:pocetTvurcuVysledku
2
n4:rokUplatneniVysledku
n7:2012
n4:tvurceVysledku
Pčolka, Matej Pošusta, Antonín
n13:organizacniJednotka
21230