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首页> 外文期刊>SIAM Journal on Numerical Analysis >A STABILIZATION OF A CONTINUOUS LIMIT OF THE ENSEMBLE KALMAN INVERSION
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A STABILIZATION OF A CONTINUOUS LIMIT OF THE ENSEMBLE KALMAN INVERSION

机译:集成卡尔曼反演的连续极限的稳定化

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摘要

The ensemble Kalman filter (EnKF) belongs to the class of iterative particle filtering methods and can be used for solving control-to-observable inverse problems. In this context, the EnKF is known as ensemble Kalman inversion (EKI). In recent years several continuous limits in the number of iterations and particles have been performed in order to study properties of the method. In particular, a one-dimensional linear stability analysis reveals possible drawbacks in the phase space of moments provided by the continuous limits of the EKI but is observed also in the multidimensional setting. In this work we address this issue by introducing a stabilization of the dynamics which leads to a method with globally asymptotically stable solutions. We illustrate the performance of the stabilized version by using test inverse problems from the literature and comparing it with the classical continuous limit formulation of the method.
机译:集成卡尔曼滤波(EnKF)属于迭代粒子滤波方法,可用于求解控制到可观察的逆问题。在这种情况下,EnKF被称为集成卡尔曼反演(EKI)。近年来,为了研究该方法的特性,已经对迭代次数和粒子进行了几个连续限制。特别是,一维线性稳定性分析揭示了EKI的连续极限在矩的相空间中可能存在的缺点,但在多维设置中也观察到。在这项工作中,我们通过引入动力学的稳定性来解决这个问题,这导致了一种具有全局渐近稳定解的方法。我们通过使用文献中的测试逆问题并将其与该方法的经典连续极限公式进行比较来说明稳定版本的性能。

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