0488528 20240903170639.420180321235959.9 85044349988 000430527200010 10.14736/kyb-2018-1-0155 20 s. P cav_un_epca*02971630023-5954541 (2018)155-174Ústav teorie informace a automatizace AV ČR, v. v. i. Adaptive observers nonlinear systems bioprocess cav_un_auth*0101074 Čelikovský Sergej Teorie řízení Department of Control Theory TŘ TR UTIA-B Department of Control Theory Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0212796 Torres-Munoz J. A. MX cav_un_auth*0359546 Dominguez-Bocanegra A. R. MX http://library.utia.cas.cz/separaty/2018/TR/celikovsky-0488528.pdf 452 KB 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. WOS BC 10000 10200 10201 2019 3 RVO:67985556 http://hdl.handle.net/11104/0283115 S 2 Article Computer Science Cybernetics COMPUTERSCIENCE.CYBERNETICS 0.591 0.155 13 0.00068 0.174 891 0.268 0.500 71 Q4 15.991 6.5 Q4 Q3 0.17 Q4 6.522 2018 85044349988 SCOPUS PUBMED 000430527200010 WOS 452 KB cav_un_epca*0297163 Kybernetika 0023-5954 Roč. 54 č. 1 2018 155 174 Ústav teorie informace a automatizace AV ČR, v. v. i.