bibtype J - Journal Article
ARLID 0480928
utime 20240111140949.5
mtime 20171106235959.9
SCOPUS 85033217842
WOS 000417001200027
DOI 10.1016/j.jfranklin.2017.10.012
title (primary) (eng) Production-process optimization algorithm: Application to fed-batch bioprocess
specification
page_count 24 s.
media_type P
serial
ARLID cav_un_epca*0253779
ISSN 0016-0032
title Journal of the Franklin Institute-Engineering and Applied Mathematics
volume_id 354
volume 18 (2017)
page_num 8529-8551
publisher
name Elsevier
keyword Optimal control
keyword Bioprocess
keyword Optimization
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/2018/TR/celikovsky-0480928.pdf
source_size 820 KB
cas_special
project
ARLID cav_un_auth*0347203
project_id GA17-04682S
agency GA ČR
country CZ
abstract (eng) This paper presents a computationally tractable algorithm focusing on overall optimization of a production process. The proposed algorithm embraces both the input profile and the state initial conditions optimization and consists of three stages: (i) optimization of the input profile with constant initial conditions, (ii) reduction of the input profile complexity and (iii) joint optimization of the input profile parameters and state initial conditions. The newly proposed algorithm is compared with several alternatives on a series of numerical experiments representing penicillin cultivation process. As a part of the evaluation, a broader range of optimization periods is considered and not only the criterion but also the complexity of the provided input profiles is inspected. The obtained encouraging results show the superiority of the newly proposed solution and demonstrate the usefulness of the joint-optimization algorithm.
RIV BC
FORD0 20000
FORD1 20200
FORD2 20205
reportyear 2018
num_of_auth 2
mrcbC52 4 A hod 4ah 20231122142801.8
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0276583
cooperation
ARLID cav_un_auth*0300364
name Department of Control Engineering, Faculty of Electrical Engineering, Czech Technical University in Prague
institution ČVUT FEL v Praze
country CZ
mrcbC64 1 Department of Control Theory UTIA-B 20205 AUTOMATION & CONTROL SYSTEMS
confidential S
mrcbC86 3+4 Article Automation Control Systems|Engineering Multidisciplinary|Engineering Electrical Electronic|Mathematics Interdisciplinary Applications
mrcbC86 3+4 Article Automation Control Systems|Engineering Multidisciplinary|Engineering Electrical Electronic|Mathematics Interdisciplinary Applications
mrcbC86 3+4 Article Automation Control Systems|Engineering Multidisciplinary|Engineering Electrical Electronic|Mathematics Interdisciplinary Applications
mrcbT16-e AUTOMATIONCONTROLSYSTEMS|ENGINEERINGELECTRICALELECTRONIC|ENGINEERINGMULTIDISCIPLINARY|MATHEMATICSINTERDISCIPLINARYAPPLICATIONS
mrcbT16-j 0.875
mrcbT16-s 1.322
mrcbT16-B 67.38
mrcbT16-D Q2
mrcbT16-E Q1*
arlyear 2017
mrcbTft \nSoubory v repozitáři: celikovsky-0480928.pdf
mrcbU14 85033217842 SCOPUS
mrcbU24 PUBMED
mrcbU34 000417001200027 WOS
mrcbU56 820 KB
mrcbU63 cav_un_epca*0253779 Journal of the Franklin Institute-Engineering and Applied Mathematics 0016-0032 1879-2693 Roč. 354 č. 18 2017 8529 8551 Elsevier