bibtype J - Journal Article
ARLID 0424718
utime 20240111140844.2
mtime 20140207235959.9
WOS 000330827400008
SCOPUS 84895787980
DOI 10.1007/s00449-013-0929-z
title (primary) (eng) Numerical aspects of optimal control of penicillin production
specification
page_count 11 s.
media_type P
serial
ARLID cav_un_epca*0257791
ISSN 1615-7591
title Bioprocess and Biosystems Engineering
volume_id 37
volume 1 (2014)
page_num 71-81
publisher
name Springer
keyword Optimal control
keyword Nonlinear systems
keyword Fermentation process
keyword Gradient method optimization
keyword Antibiotics production
author (primary)
ARLID cav_un_auth*0281469
name1 Pčolka
name2 M.
country CZ
author
ARLID cav_un_auth*0101074
name1 Čelikovský
name2 Sergej
full_dept (cz) Teorie řízení
full_dept Department of Control Theory
department (cz)
department TR
institution UTIA-B
full_dept Department of Control Theory
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2014/TR/celikovsky-0424718.pdf
source_size 792 kB
cas_special
project
project_id GA13-20433S
agency GA ČR
country CZ
ARLID cav_un_auth*0292613
abstract (eng) Since their discovery, fermentation processes have gone along not only with the industrial beverages production and breweries, but since the times of Alexander Fleming, they have become a crucial part of the health care due to antibiotics production. However, complicated dynamics and strong nonlinearities cause that the production with the use of linear control methods achieves only suboptimal yields. From the variety of nonlinear approaches, gradient method has proved the ability to handle these issues—nevertheless, its potential in the field of fermentation processes has not been revealed completely. This paper describes constant vaporization control strategy based on a double-input optimization approach with a successful reduction to a single-input optimization task. To accomplish this, model structure used in the previous work is modified so that it corresponds with the new optimization strategy. Furthermore, choice of search step is explored and various alternatives are evaluated and compared.
reportyear 2015
RIV BC
num_of_auth 2
mrcbC52 4 A 4a 20231122140103.5
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0230906
cooperation
ARLID cav_un_auth*0300364
institution ČVUT FEL v Praze
name Department of Control Engineering, Faculty of Electrical Engineering, Czech Technical University in Prague
country CZ
confidential S
mrcbT16-e BIOTECHNOLOGYAPPLIEDMICROBIOLOGY|ENGINEERINGCHEMICAL
mrcbT16-j 0.453
mrcbT16-s 0.699
mrcbT16-4 Q2
mrcbT16-B 32.459
mrcbT16-C 55.069
mrcbT16-D Q3
mrcbT16-E Q3
arlyear 2014
mrcbTft \nSoubory v repozitáři: celikovsky-0424718.pdf
mrcbU14 84895787980 SCOPUS
mrcbU34 000330827400008 WOS
mrcbU56 792 kB
mrcbU63 cav_un_epca*0257791 Bioprocess and Biosystems Engineering 1615-7591 1615-7605 Roč. 37 č. 1 2014 71 81 Springer