DocumentCode :
3080968
Title :
Structural identifiability of the yield parameters in nonlinear compartmental models for bioprocesses
Author :
Chen, L. ; Bastin, G. ; Dochain, D.
Author_Institution :
Lab. d´´Autom., Dynamique et Anal. des Syst., Univ. Catholique de Louvain, Belgium
fYear :
1990
fDate :
5-7 Dec 1990
Firstpage :
1074
Abstract :
The parameter identifiability of nonlinear state-space models used for the description of biotechnological processes is considered. The identification problem of bioprocesses in a stirred tank reactor essentially concerns the determination of the yield coefficients and reaction rates involved in a general state-space model. Identification of the yield coefficients is the topic of this study. It is shown that the yield coefficient identification can be completely decoupled from that of the reaction rates by means of an appropriate transformation of the dynamical model. The identifiability of the yield coefficients is investigated. It is shown that the identifiability properties of these coefficients can be drawn from the structure of the underlying reaction scheme. Necessary and sufficient identifiability conditions are given in the form of some simple algebraic tests
Keywords :
biocontrol; identification; nonlinear systems; process control; state-space methods; bioprocesses; dynamical model; identification; nonlinear compartmental models; parameter identifiability; state-space model; stirred tank reactor; yield parameters; Biological system modeling; Biology computing; Controllability; Inductors; Kinetic theory; Linear regression; Nonlinear systems; Observability; State-space methods; System testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 1990., Proceedings of the 29th IEEE Conference on
Conference_Location :
Honolulu, HI
Type :
conf
DOI :
10.1109/CDC.1990.203767
Filename :
203767
Link To Document :
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