Data assimilation of time under-sampled measurements using observers, the wave-like equation example

Abstract : We propose a sequential data assimilation scheme using Luenberger type observers when only some space restricted time under-sampled measurements are available. More precisely, we consider a wave-like equation for which we assume known the restriction of the solution to an open non-empty subset of the spatial domain and for some time samples (typically the sampling step in time is much larger than the time discretization step). To assimilate the available data, two strategies are proposed and analyzed. The first strategy consists in assimilating data only if they are available and the second one in assimilating interpolation of the available data at all the discretization times. In order to tackle the spurious high frequencies which appear when we discretize the wave equation, for both strategies, we introduce a numerical viscous term. In this case, we prove some error estimates between the exact solution and our observers. Numerical simulations illustrate the theoretical results in the case of the one dimensional wave equation.
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Nicolae Cindea, Alexandre Imperiale, Philippe Moireau. Data assimilation of time under-sampled measurements using observers, the wave-like equation example. ESAIM: Control, Optimisation and Calculus of Variations, EDP Sciences, 2015, pp.35. ⟨10.1051/cocv/2014042⟩. ⟨hal-01054551⟩

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