Document Detail

A tunable multivariable nonlinear robust observer for biological systems.
MedLine Citation:
PMID:  15861819     Owner:  NLM     Status:  MEDLINE    
This paper presents a robust nonlinear asymptotic observer with adjustable convergence rate with a great potential of applicability for biological systems in which the main state variables are difficult and expensive to measure or such measurements do not exist. This observer scheme is based on the classical asymptotic observer, which is modified to allow the tuning of the convergence rate. It is shown that the proposed observer provides fast and satisfactory estimates when facing load disturbances, system failures and parameter uncertainty while maintaining the excellent robustness and stability properties of the classical asymptotic observer. The implementation of the tunable observer is carried out by numerical simulations of a mathematical model of an anaerobic digestion process used for wastewater treatment. The key results are examined and further developed.
Víctor Alcaraz-González; Rodolfo Salazar-Peña; Víctor González-Alvarez; Jean-Luc Gouzé; Jean-Philippe Steyer
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Comptes rendus biologies     Volume:  328     ISSN:  1631-0691     ISO Abbreviation:  C. R. Biol.     Publication Date:  2005 Apr 
Date Detail:
Created Date:  2005-05-02     Completed Date:  2006-01-18     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  101140040     Medline TA:  C R Biol     Country:  France    
Other Details:
Languages:  eng     Pagination:  317-25     Citation Subset:  IM    
Departamento de Ingeniería Química, Universidad de Guadalajara-CUCEI, Blvd. Marcelino García Barragán 1451, Guadalajara, Jalisco, 44430, México.
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MeSH Terms
Nonlinear Dynamics*
Systems Biology / statistics & numerical data*

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