bibtype	C - Conference Paper (international conference)
ARLID	0386726
utime	20240111140825.3
mtime	20130111235959.9
title (primary) (eng)	Multiple-Input Cultivation Model Based Optimization of Penicillin Production
specification	page_count 6 s. media_type P
serial	ARLID cav_un_epca*0386725 ISBN 978-1-4673-2065-8 title Proceedings of the 51st IEEE Conference on Decision and Control page_num 7075-7080 publisher place Hawaii name IEEE year 2012
keyword	optimization
keyword	biological systems
keyword	nonlinear systems
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) TŘ department TR institution UTIA-B full_dept Department of Control Theory fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source	source_type textový dokument source_size 291 kB
cas_special	project project_id GAP103/12/1794 agency GA ČR country CZ ARLID cav_un_auth*0283207 project project_id LG12016 agency GA MŠk country CZ ARLID cav_un_auth*0281705 abstract (eng) Unlike prevailing contemporary approach considering the influx feed flow as the only crucial input influencing the final product concentration in bioprocess cultivation, the current paper considers other (non-nutritional) inputs as well. Among them, the volume withdrawal is an important option. Two types of control strategies employing this second input are considered here, each of them using it in a different way. First, the so-called quasi-double-input strategies exploit the broth withdrawal to follow a pre-determined volume profile. Second, the true-double-input strategies consider the second input as a completely independent optimization variable. Main analysis tool here is the gradient optimization numerical algorithm and its adaptations. All resulting strategies are summarized and formulated in the context of optimization, those introduced earlier (i.e., the quasi-double-input) are unified into a common general strategy. action ARLID cav_un_auth*0287526 name The 51st IEEE Conference on Decision and Control place Maui, Hawaii dates 10.12.2012-13.12.2012 country US reportyear 2013 RIV BC num_of_auth 2 presentation_type PR inst_support RVO:67985556 permalink http://hdl.handle.net/11104/0216147 arlyear 2012 mrcbU56 textový dokument 291 kB mrcbU63 cav_un_epca*0386725 Proceedings of the 51st IEEE Conference on Decision and Control 978-1-4673-2065-8 7075 7080 Hawaii IEEE 2012