Adaptive high gain observer extension and its application to bioprocess monitoring

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F18%3A00488528" target="_blank" >RIV/67985556:_____/18:00488528 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.14736/kyb-2018-1-0155" target="_blank" >http://dx.doi.org/10.14736/kyb-2018-1-0155</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.14736/kyb-2018-1-0155" target="_blank" >10.14736/kyb-2018-1-0155</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Adaptive high gain observer extension and its application to bioprocess monitoring

Popis výsledku v původním jazyce

The adaptive version of the high gain observer for the strictly triangular systems subjected to constant unknown disturbances is proposed here. The adaptive feature is necessary due to the fact that the 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 thereby shows both by theoretical analysis and numerical simulation that the adaptive high-gain observers o er a realistic option of online software sensors for substrate estimation.

Název v anglickém jazyce

Adaptive high gain observer extension and its application to bioprocess monitoring

Popis výsledku anglicky

The adaptive version of the high gain observer for the strictly triangular systems subjected to constant unknown disturbances is proposed here. The adaptive feature is necessary due to the fact that the 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 thereby shows both by theoretical analysis and numerical simulation that the adaptive high-gain observers o er a realistic option of online software sensors for substrate estimation.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Kybernetika

ISSN

0023-5954

e-ISSN

—

Svazek periodika

54

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

20

Strana od-do

155-174

Kód UT WoS článku

000430527200010

EID výsledku v databázi Scopus

2-s2.0-85044349988