Monte Carlo observer for a stochastic model of bioreactors
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.
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| Main Authors: | , , |
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| Format: | conference_item biblioteca |
| Language: | eng |
| Published: |
World Scientific Publishing [SG]
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| Subjects: | U10 - Informatique, mathématiques et statistiques, |
| Online Access: | http://agritrop.cirad.fr/545345/ |
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