Model predictive control using artificial neural network applied on semi-batch reactor
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F11%3A43866913" target="_blank" >RIV/70883521:28140/11:43866913 - isvavai.cz</a>
Alternative codes found
RIV/70883521:28110/11:43866913
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Model predictive control using artificial neural network applied on semi-batch reactor
Original language description
The article deals with the control of the semi-batch reactor that is used in chromium waste recycling process based on the enzymatic hydrolysis. However, the control of the semi-batch reactor is highly complex because of the strongly exothermic chemicalreaction. To simulate the real process a mathematical model including reaction kinetics was used. The parameters of the achieved model were obtained and verified by experiments. A model predictive control is applied to the temperature control problem. The system control is gene-rally difficult because of its nonlinear behaviour.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BC - Theory and management systems
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Strojárstvo extra
ISSN
1335-2938
e-ISSN
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Volume of the periodical
15
Issue of the periodical within the volume
5
Country of publishing house
SK - SLOVAKIA
Number of pages
7
Pages from-to
"24/1"-"24/7"
UT code for WoS article
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EID of the result in the Scopus database
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