Geodesic
Adaptive high gain observer extension and its application to bioprocess monitoring
Kybernetika, Tome 54 (2018) no. 1, pp. 155-174 Cet article a éte moissonné depuis la source Czech Digital Mathematics Library

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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.
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.
DOI : 10.14736/kyb-2018-1-0155
Classification : 90C46, 93C95
Keywords: adaptive observers; nonlinear systems; bioprocess 
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     author = {\v{C}elikovsk\'y, Sergej and Torres-Mu\~noz, Jorge Antonio and Dominguez-Bocanegra, Alma Rosa},
     title = {Adaptive high gain observer extension and its application to bioprocess monitoring},
     journal = {Kybernetika},
     pages = {155--174},
     year = {2018},
     volume = {54},
     number = {1},
     doi = {10.14736/kyb-2018-1-0155},
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     zbl = {06861619},
     language = {en},
     url = {http://geodesic.mathdoc.fr/articles/10.14736/kyb-2018-1-0155/}
}
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Čelikovský, Sergej; Torres-Muñoz, Jorge Antonio; Dominguez-Bocanegra, Alma Rosa. Adaptive high gain observer extension and its application to bioprocess monitoring. Kybernetika, Tome 54 (2018) no. 1, pp. 155-174. doi: 10.14736/kyb-2018-1-0155

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