Monte Carlo observer for a stochastic model of bioreactors

Joannides Marc, Larramendy-Valverde Irène, Rossi Vivien. 2007. Monte Carlo observer for a stochastic model of bioreactors. In : Recent advances in stochastic modeling and data analysis. Skiadas Christos H. (ed.). Singapour : World Scientific Publishing [SG], 605-612. ISBN 978-981-270-968-4 International conference on Applied stochastic models and data analysis. 12, Chania, Grèce, 29 Mai 2007/1 Juin 2007.

Résumé : This paper proposes a (stochastic) Langevin-type formulation to modelize the continuous time evolution of the state of a biological reactor. We adapt the classical technique of asymptotic observer commonly used in the deterministic case, to design a Monte-Carlo procedure for the estimation of an unobserved reactant. We illustrate the relevance of this approach by numerical simulations.

Classification Agris : U10 - Informatique, mathématiques et statistiques

Champ stratégique Cirad : Hors axes (2005-2013)

Auteurs et affiliations

• Joannides Marc, UM2 (FRA)
• Larramendy-Valverde Irène, UM2 (FRA)
• Rossi Vivien, CIRAD-ES-UPR Dynamique forestière (FRA) ORCID: 0000-0001-5458-1523

Source : Cirad - Agritrop (https://agritrop.cirad.fr/545345/)

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