Detectability and state estimation for linear age-structured population diffusion models

Abstract : We investigate a state estimation problem for an infinite dimensional system appearing in population dynamics. More precisely, given a linear model for age-structured populations with spatial diffusion, we assume the initial distribution to be unknown and that we have at our disposal an observation locally distributed in both age and space. Using Luenberger observers, we solve the inverse problem of recovering asymp-totically in time the distribution of population. The observer is designed using a finite dimensional stabilizing output injection operator, yielding an effective reconstruction method. Numerical experiments are provided showing the feasibility of the proposed reconstruction method.
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ESAIM: Mathematical Modelling and Numerical Analysis, EDP Sciences, 2016, 50 (6), pp.1731-1761. 〈10.1051/m2an/2016002〉
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Dernière modification le : jeudi 11 janvier 2018 - 06:26:21

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Karim Ramdani, Marius Tucsnak, Julie Valein. Detectability and state estimation for linear age-structured population diffusion models. ESAIM: Mathematical Modelling and Numerical Analysis, EDP Sciences, 2016, 50 (6), pp.1731-1761. 〈10.1051/m2an/2016002〉. 〈hal-01140166v4〉

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