Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/144

TitleStability, dynamics of convergence and tuning of observer-based kinetics estimators
Author(s)Oliveira, Rui Manuel Freitas
Ferreira, E. C.
Azevedo, S. Feyo de
KeywordsObserver-based estimator
Stability
Dynamics of convergence
Tuning
Baker’s yeast
Issue date2002
PublisherElsevier Science
JournalJournal of Process Control
Citation“Journal of Process Control”. 12:2 (2002) 311–323.
Abstract(s)This work discusses issues concerning stability, tuning and dynamics of convergence of observer-based kinetics estimators. The analysis focuses on both continuous and discrete time formulations of the estimation algorithms. Concerning the former, it is shown that, with proper tuning, stability can be guaranteed, while simultaneously imposing a desired quasi-time invariant second order time response for the convergence of estimates to true values. Concerning the latter, an algorithm is presented, based on a forward Euler discretisation, whose error system is shown to be linear time-invariant. Furthermore, stability conditions were derived, which define the stable domain for the discretisation period as function of the tuning parameters. The theory is illustrated with a case-study of Baker’s yeast fermentation. Results clearly confirm the theoretical developments. In particular, results concerning the stability domain for the Euler-based discrete formulation of the estimator are shown to have relevant practical implications.
TypeArticle
URIhttp://hdl.handle.net/1822/144
DOI10.1016/S0959-1524(01)00031-2
ISSN0959-1524
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CEB - Publicações em Revistas/Séries Internacionais / Publications in International Journals/Series

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