| A tunable multivariable nonlinear robust observer for biological systems. | |
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MedLine Citation:
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PMID: 15861819 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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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. |
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Authors:
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Víctor Alcaraz-González; Rodolfo Salazar-Peña; Víctor González-Alvarez; Jean-Luc Gouzé; Jean-Philippe Steyer |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: Comptes rendus biologies Volume: 328 ISSN: 1631-0691 ISO Abbreviation: C. R. Biol. Publication Date: 2005 Apr |
Date Detail:
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Created Date: 2005-05-02 Completed Date: 2006-01-18 Revised Date: 2006-11-15 |
Medline Journal Info:
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Nlm Unique ID: 101140040 Medline TA: C R Biol Country: France |
Other Details:
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Languages: eng Pagination: 317-25 Citation Subset: IM |
Affiliation:
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Departamento de Ingeniería Química, Universidad de Guadalajara-CUCEI, Blvd. Marcelino García Barragán 1451, Guadalajara, Jalisco, 44430, México. victor@ccip.udg.mx |
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| MeSH Terms | |
Descriptor/Qualifier:
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Nonlinear Dynamics* Systems Biology / statistics & numerical data* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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