Dynamical model identification of population of oysters for water quality monitoring

Ahmed, Hafiz; Ushirobira, Rosane; Efimov, Denis; Tran, Damien; Massabuau, Jean-Charles

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]

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 ...
Show more >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 :

Harvested from HAL

Files

https://hal.inria.fr/hal-00986038/document
Open access
Access the document

https://hal.inria.fr/hal-00986038/document
Open access
Access the document

https://hal.inria.fr/hal-00986038/document
Open access
Access the document

https://hal.inria.fr/hal-00986038/document
Open access
Access the document

https://hal.inria.fr/hal-00986038/document
Open access
Access the document

Dynamical model identification of population ... BibTeX CSV Excel RIS

Files

Dynamical model identification of population ...

BibTeX

CSV

Excel

RIS