Dynamical model identification of a population of oysters for water quality monitoring

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

    Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review

    5 Citations (Scopus)


    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.
    Original languageEnglish
    Title of host publicationControl Conference (ECC), 2014 European
    ISBN (Print)9783952426913
    Publication statusPublished - 2014
    Event2014 European Control Conference - Strasbourg, France
    Duration: 24 Jun 201427 Jun 2014


    Conference2014 European Control Conference
    Abbreviated titleECC


    • Valves
    • Biological system modeling
    • Monitoring
    • Sociology
    • Statistics
    • Animals
    • Sea measurements


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