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On filtering problems over Ito-Volterra and delayed observations

机译:论ITO-Volterra的滤除问题和延迟观察

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In this paper, the Kalman-Bucy filter is designed for an Ito-Volterra process over Ito-Volterra observations that cannot be reduced to the case of a differential observation equation. The Kalman-Bucy filter is then designed for an Ito-Volterra process over discontinuous Ito-Volterra observations Based on the obtained results, the optimal filtering equations over observations with delays are obtained for an Ito-Volterra process, proceeding from discontinuous observations of the Ito-Volterra type. It is shown that the designed filter can be significantly simplified for a dynamic system state governed by a differential equation. The filtering problems are considered over observations with multiple delays and a set of delays of the continuum power.
机译:在本文中,Kalman-Bucy滤波器设计用于ITO-Volterra的ITO-Volterra的过程,其不能降低到差分观察方程的情况。然后将卡尔曼-Bucy过滤器设计用于ITO-Volterra在基于所得结果的不连续ITO-Volterra观察中,获得了与延迟的观察结果的最佳滤波方程,从ITO-Volterra工艺进行,从ITO的不连续观察开始-volterra类型。结果表明,对于由微分方程治理的动态系统状态,可以显着简化设计的滤波器。过滤问题被认为是具有多个延迟的观察结果和连续功率的一组延迟。

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