Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/138

TitleTuning of observer-based estimators: theory and application to the on-line estimation of kinetic parameters
Author(s)Perrier, M.
Azevedo, S. Feyo de
Ferreira, E. C.
Dochain, D.
KeywordsParameter estimation
State observer
Biotechnological process
Chemical process
Electrical system
Issue date2000
PublisherElsevier Science
JournalControl Engineering Practice
Citation“Control Engineering Practice”. 8:4 (2000) 377-388.
Abstract(s)This paper deals with the tuning of observer-based estimators. Initially, these algorithms were designed for estimating on-line kinetic parameters, like specific growth rates, in bioprocesses, and have proved to be very successful in practical applications. Here a systematic tuning approach that allows a decoupled estimation of each parameter and the assignment of the estimator dynamics independently of the process dynamics is proposed. The presented approach is illustrated on an animal cell culture example in numerical simulation and with real-life data.
TypeArticle
URIhttp://hdl.handle.net/1822/138
DOI10.1016/S0967-0661(99)00164-1
ISSN0967-0661
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CEB - Publicações em Revistas/Séries Internacionais / Publications in International Journals/Series

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