Document Detail


A tunable multivariable nonlinear robust observer for biological systems.
MedLine Citation:
PMID:  15861819     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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.
Authors:
Víctor Alcaraz-González; Rodolfo Salazar-Peña; Víctor González-Alvarez; Jean-Luc Gouzé; Jean-Philippe Steyer
Related Documents :
24378309 - A spatially-dense regression study of facial form and tissue depth: towards an interact...
22046149 - Effects of accuracy feedback on fractal characteristics of time estimation.
22228799 - Multiple continental radiations and correlates of diversification in lupinus (leguminos...
23248129 - Characterizing humans on riemannian manifolds.
8343889 - Choosing a powerful lithotriptor.
24982949 - Two-cloud-servers-assisted secure outsourcing multiparty computation.
12662839 - Evolution and generalization of a single neurone: ii. complexity of statistical classif...
25232199 - Nesting behaviour influences species-specific gas exchange across avian eggshells.
20853179 - The importance of defining 'data' in data management policies: commentary on: "issues i...
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    
Affiliation:
Departamento de Ingeniería Química, Universidad de Guadalajara-CUCEI, Blvd. Marcelino García Barragán 1451, Guadalajara, Jalisco, 44430, México. victor@ccip.udg.mx
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:
Nonlinear Dynamics*
Systems Biology / statistics & numerical data*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  Ecological time-series analysis through structural modelling with latent constructs: concepts, metho...
Next Document:  Mathematical model for optimal control in wastewater discharges: the global performance.