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Convergence of Implicit Dicretization Schemes for Linear Differential Equations With Application to Filtering.

机译:线性微分方程隐式重构方案的收敛性及其在滤波中的应用。

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This paper presents a generalization of results on convergence and robustness discretization schemes for nonlinear filtering obtained by Kushner. This is made possible by a general theorem on the convergence of semigroups of operators on a Banach space, which gives sufficient conditions for a semi- discretization scheme to remain convergent, once the time is implicitly discretized. As a consequence, sufficient conditions can be given for selecting space discretizations of the state process generator to construct computable nonlinear filters converging to the optimal one.

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