Nonlinear adaptive control of a model of an uncertain fermentation process

A nonlinear model of a methane fermentation is considered. Assuming that the model parameters are unknown but bounded, the global asymptotic stabilizability of the control system is studied and a nonlinear adaptive stabilizing feedback is proposed. The feedback law depends only on measurable variabl...

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Veröffentlicht in:	International journal of robust and nonlinear control 2010-06, Vol.20 (9), p.1001-1009
Hauptverfasser:	Dimitrova, Neli, Krastanov, Mikhail
Format:	Artikel
Sprache:	eng
Schlagworte:	adaptive stabilizing feedback Asymptotic properties Control systems Control theory Dynamical systems extremum seeking algorithm Fermentation Mathematical analysis Mathematical models methane fermentation model Nonlinearity
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Beschreibung
Zusammenfassung:	A nonlinear model of a methane fermentation is considered. Assuming that the model parameters are unknown but bounded, the global asymptotic stabilizability of the control system is studied and a nonlinear adaptive stabilizing feedback is proposed. The feedback law depends only on measurable variables. A numerical extremum seeking algorithm is designed for stabilizing the dynamic system toward the maximum outflow rate of biogas. Computer simulations are reported to illustrate the theoretical results. Copyright © 2009 John Wiley & Sons, Ltd.
ISSN:	1049-8923 1099-1239 1099-1239
DOI:	10.1002/rnc.1503