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Communication dans un congrès

A tunable multivariable nonlinear robust observer for biological systems

Abstract : 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. (c) 2004 Academie des sciences. Published by Elsevier SAS. All rights reserved.
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Communication dans un congrès
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Déposant : Migration Prodinra <>
Soumis le : dimanche 7 juin 2020 - 08:42:27
Dernière modification le : jeudi 2 juillet 2020 - 14:21:31



Victor Alcaraz-Gonzalez, Rodolfo Salazar-Pena, Victor Gonzalez-Alvarez, Jean-Luc Gouzé, Jean-Philippe Steyer. A tunable multivariable nonlinear robust observer for biological systems. AICME II Alcala International Conference on Mathematical Ecology n°2, Sep 2003, Madrid, Spain. ⟨10.1016/j.crvi.2004.11.008⟩. ⟨hal-02834003⟩



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