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On impulse and continuous observation control design in Kalman filtering problem

机译:卡尔曼滤波问题中的脉冲和连续观测控制设计

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This paper develops the observation control method for refining the Kalman-Bucy estimates, which is based on impulsive modeling of the transition matrix in an observation equation, thus engaging discrete-continuous observations. The impulse observation control generates on-line computable jumps of the estimate variance from its current position towards zero and, as a result, enables us to instantaneously obtain the estimate, whose variance is closer to zero. The filtering equations over impulse-controlled observations are obtained in the Kalman-Bucy filtering problem. The method for feedback design of control of the estimate variance is developed. First, the pure impulse control is used, and, next, the combination of the impulse and continuous control components is emploxyed. The considered examples allow us to compare the properties of these control and filtering methodologies.
机译:本文开发了一种观测控制方法,用于细化卡尔曼-布西估计,该方法基于观测方程中转换矩阵的脉冲建模,因此可以进行离散连续观测。脉冲观测控件生成估计方差从其当前位置到零的在线可计算跳跃,结果使我们能够立即获得方差接近于零的估计。在卡尔曼-布西滤波问题中获得了脉冲控制观测值的滤波方程。开发了估计方差控制的反馈设计方法。首先,使用纯脉冲控制,其次,将脉冲和连续控制组件的组合放大。所考虑的示例使我们能够比较这些控制和过滤方法的属性。

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