多速率输出功能滤波器的设计与控制

N. Satyanarayana, Kamlesh Pandey, Alka Pandey
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引用次数: 0

摘要

卡尔曼滤波是一种具有不相关白过程和测量噪声的线性动态系统的递归估计器。本文研究线性离散随机系统的无偏最小方差泛函估计问题。所提出的方法是基于植物输出的多速率采样。给出了函数滤波器存在的充分必要条件,并讨论了函数滤波器的稳定性。通过数值算例验证了该方法的过程和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multirate output functional filter design and control
The Kalman filter is a recursive estimator for a linear dynamic system with uncorrelated white process and measurement noises. In this paper, we consider the problem of unbiased minimum-variance functional estimation for linear discrete-time stochastic systems. The proposed method is based on multirate sampling of plant output. The necessary and sufficient conditions for the existence of the functional filter are given and the stability of the filter is discussed. A numerical example is considered to demonstrate the procedure and efficacy of the approach.
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