Algorithms for Nonlinear Predictive Control Maximizing Penicillin Production Efficiency
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F16%3A00460758" target="_blank" >RIV/67985556:_____/16:00460758 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Algorithms for Nonlinear Predictive Control Maximizing Penicillin Production Efficiency
Original language description
In this paper, maximization of efficiency of the penicillin production is addressed. To overcome the issues caused by the terminal time being an optimizable parameter, two adaptations of the Hamiltonian-based gradient method are proposed. The first algorithm incorporates the terminal time directly into the set of optimized variables while the second one makes use of a time scaling with optimizable time-dependent time scale being a virtual input. Both algorithms are verified on a set of numerical experiments and the obtained results show significant improvement of the penicillin production efficiency gained by their use, which suggests their exploitation within the industrial nonlinear predictive controllers for bioprocess optimization.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BC - Theory and management systems
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA13-20433S" target="_blank" >GA13-20433S: Analysis and control of globally decomposed strongly nonlinear state space dynamical models with complex interactions of their components</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the Americal Control Conference (ACC), Boston 2016
ISBN
978-1-4673-8681-4
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
3527-3532
Publisher name
IEEE
Place of publication
Boston
Event location
Boston
Event date
Jul 6, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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