Adaptive high gain observer extension and its application to bioprocess monitoring

Sergej Čelikovský; Jorge Antonio Torres-Muñoz; Alma Rosa Dominguez-Bocanegra

Kybernetika (2018)

  • Volume: 54, Issue: 1, page 155-174
  • ISSN: 0023-5954

Abstract

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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 offer a realistic option of online software sensors for substrate estimation.

How to cite

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Čelikovský, Sergej, Torres-Muñoz, Jorge Antonio, and Dominguez-Bocanegra, Alma Rosa. "Adaptive high gain observer extension and its application to bioprocess monitoring." Kybernetika 54.1 (2018): 155-174. <http://eudml.org/doc/294710>.

@article{Čelikovský2018,
abstract = {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 offer a realistic option of online software sensors for substrate estimation.},
author = {Čelikovský, Sergej, Torres-Muñoz, Jorge Antonio, Dominguez-Bocanegra, Alma Rosa},
journal = {Kybernetika},
keywords = {adaptive observers; nonlinear systems; bioprocess},
language = {eng},
number = {1},
pages = {155-174},
publisher = {Institute of Information Theory and Automation AS CR},
title = {Adaptive high gain observer extension and its application to bioprocess monitoring},
url = {http://eudml.org/doc/294710},
volume = {54},
year = {2018},
}

TY - JOUR
AU - Čelikovský, Sergej
AU - Torres-Muñoz, Jorge Antonio
AU - Dominguez-Bocanegra, Alma Rosa
TI - Adaptive high gain observer extension and its application to bioprocess monitoring
JO - Kybernetika
PY - 2018
PB - Institute of Information Theory and Automation AS CR
VL - 54
IS - 1
SP - 155
EP - 174
AB - 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 offer a realistic option of online software sensors for substrate estimation.
LA - eng
KW - adaptive observers; nonlinear systems; bioprocess
UR - http://eudml.org/doc/294710
ER -

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