bibtype C - Conference Paper (international conference)
ARLID 0449804
utime 20240111140910.0
mtime 20151106235959.9
WOS 000456678000063
DOI 10.1109/ICEEE.2015.7357956
title (primary) (eng) An adaptive extention to high gain observer with application to wastewater monitoring
specification
page_count 6 s.
media_type P
serial
ARLID cav_un_epca*0449803
ISBN 978-1-4673-7837-6
title Proceedings of the 2015 12th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)
page_num 200-205
publisher
place Mexico-City
name IEEE
year 2015
keyword Biosystems
keyword observer design
keyword uncertain model
author (primary)
ARLID cav_un_auth*0101074
name1 Čelikovský
name2 Sergej
institution UTIA-B
full_dept (cz) Teorie řízení
full_dept (eng) Department of Control Theory
department (cz)
department (eng) TR
full_dept Department of Control Theory
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0282538
name1 Torres-Munoz
name2 J.
country MX
author
ARLID cav_un_auth*0282537
name1 Rodríguez-Mata
name2 A.
country MX
author
ARLID cav_un_auth*0321692
name1 Dominguez-Bocanegra
name2 A.R.
country MX
source
source_type článek
source_size 751 kB
cas_special
project
ARLID cav_un_auth*0292613
project_id GA13-20433S
agency GA ČR
abstract (eng) Adaptive version of high gain observers for the strictly triangular systems subjected to constant unknown disturbances is proposed here. Adaptive feature is necessary due to the fact that unknown disturbance enters in a way that cannot be suppressed by the high gain technique. The developed observers are then applied to a culture of microorganism in a bioreactor, namely, to the model of the continuous culture of Spirulina maxima. It is a common practice that just the biomass (or substrate) concentration is directly measured as the output of the process for monitoring and control purposes. This paper shows both by theoretical analysis and numerical simulation that the mentioned high gain adaptive observers offer a realistic option of online software sensors for substrate estimation.
action
ARLID cav_un_auth*0321693
name International Conference on Electrical Engineering, Computing Science and Automatic Control 2015 (CCE 2015) /12./
dates 28.10.2015-30.10.2015
place Mexico-City
country MX
RIV BC
FORD0 20000
FORD1 20200
FORD2 20204
reportyear 2016
num_of_auth 4
presentation_type PR
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0251244
confidential S
mrcbC83 RIV/67985556:_____/15:00449804!RIV16-AV0-67985556 191684609 Doplnění UT WOS
mrcbC83 RIV/67985556:_____/15:00449804!RIV16-GA0-67985556 191719696 Doplnění UT WOS
arlyear 2015
mrcbU34 000456678000063 WOS
mrcbU56 článek 751 kB
mrcbU63 cav_un_epca*0449803 Proceedings of the 2015 12th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE) 978-1-4673-7837-6 200 205 Mexico-City IEEE 2015