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Dynamical model identification of population ...
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Document type :
Communication dans un congrès avec actes
Title :
Dynamical model identification of population of oysters for water quality monitoring
Author(s) :
Ahmed, Hafiz [Auteur]
Non-Asymptotic estimation for online systems [NON-A]
Ushirobira, Rosane [Auteur]
Non-Asymptotic estimation for online systems [NON-A]
Institut de Mathématiques de Bourgogne [Dijon] [IMB]
Efimov, Denis [Auteur] refId
Non-Asymptotic estimation for online systems [NON-A]
Systèmes Non Linéaires et à Retards [SyNeR]
Tran, Damien [Auteur]
Environnements et Paléoenvironnements OCéaniques [EPOC]
Massabuau, Jean-Charles [Auteur]
Environnements et Paléoenvironnements OCéaniques [EPOC]
Conference title :
Proc. European Control Conference (ECC) 2014
City :
Strasbourg
Country :
France
Start date of the conference :
2014-06-24
Publication date :
2014-06-24
HAL domain(s) :
Informatique [cs]/Automatique
English abstract : [en]
The measurements of valve activity in a population of bivalves under natural environmental conditions (16 oysters in the Bay of Arcachon, France) are used for a physiological model identification. A nonlinear auto-regressive ...
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The measurements of valve activity in a population of bivalves under natural environmental conditions (16 oysters in the Bay of Arcachon, France) are used for a physiological model identification. A nonlinear auto-regressive exogenous (NARX) model is designed and tested. The model takes into account the influence of environmental conditions using measurements of the sunlight intensity, the moonlight and tide levels. A possible influence of the internal circadian/circatidal clocks is also analyzed. Through this application, it is demonstrated that the developed dynamical model can be used for estimation of the normal physiological rhythms of permanently immersed oysters and considered for detection of perturbations of these rhythms due to changes in the water quality, i.e. for ecological monitoring.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
  • Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
Source :
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