| Attributes | Values |
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| rdf:type
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| 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. (en)
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| Title
| - Towards Enhancement of Antibiotics Production: Optimal Control Design
- Towards Enhancement of Antibiotics Production: Optimal Control Design (en)
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| skos:prefLabel
| - Towards Enhancement of Antibiotics Production: Optimal Control Design
- Towards Enhancement of Antibiotics Production: Optimal Control Design (en)
|
| skos:notation
| - RIV/68407700:21230/12:00195485!RIV13-MSM-21230___
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| http://linked.open...avai/riv/aktivita
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| http://linked.open...avai/riv/aktivity
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| http://linked.open...vai/riv/dodaniDat
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| http://linked.open...aciTvurceVysledku
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| http://linked.open.../riv/druhVysledku
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| http://linked.open...iv/duvernostUdaju
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| http://linked.open...titaPredkladatele
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| http://linked.open...dnocenehoVysledku
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| http://linked.open...ai/riv/idVysledku
| - RIV/68407700:21230/12:00195485
|
| http://linked.open...riv/jazykVysledku
| |
| http://linked.open.../riv/klicovaSlova
| - Fermentation Process; Antibiotics Production; Optimal Control (en)
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| http://linked.open.../riv/klicoveSlovo
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| http://linked.open...ontrolniKodProRIV
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| http://linked.open...in/vavai/riv/obor
| |
| http://linked.open...ichTvurcuVysledku
| |
| http://linked.open...cetTvurcuVysledku
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| http://linked.open...UplatneniVysledku
| |
| http://linked.open...iv/tvurceVysledku
| - Pošusta, Antonín
- Pčolka, Matej
|
| http://localhost/t...ganizacniJednotka
| |
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