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dc.contributor.authorSelişteanu, Dan
dc.contributor.authorIonete, Cosmin
dc.contributor.authorPetre, Emil
dc.date.accessioned2015-12-10T11:17:35Z
dc.date.available2015-12-10T11:17:35Z
dc.date.issued2001
dc.identifier.issn1221-454X
dc.identifier.urihttp://10.11.10.50/xmlui/handle/123456789/3721
dc.descriptionThe Annals of "Dunarea de Jos" University of Galati Fascicle III, 2001en_US
dc.description.abstractThe paper presents on-line estimation strategies for bioprocesses, which are characterized by strongly nonlinear dynamics. A general form for the state observers is analysed and the exponential observability of bioprocesses is discussed. For those biotechnological processes that possess the property of exponential observability, an extended Luenberger observer is implemented. If exponential observers cannot be used, a solution is the design of asymptotic observers. The proposed observers are implemented for a microbial growth process coupled with an enzyme-catalysed reaction, which is a usual bioprocess that takes place in a fed-batch bioreactor. Illustrative computer simulations and conclusions are included.en_US
dc.language.isoenen_US
dc.publisher"Dunarea de Jos" University of Galatien_US
dc.subjectBiotechnologyen_US
dc.subjectNonlinear Systemsen_US
dc.subjectExponential Observabilityen_US
dc.titleOn Exponential and Asymptotic Estimation of State Variables in Bioprocessesen_US
dc.typeArticleen_US


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