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多率系统Kalman滤波算法的鲁棒性分析

吴瑶 罗雄麟

自动化学报2012,Vol.38Issue(2):156-174,19.
自动化学报2012,Vol.38Issue(2):156-174,19.DOI:10.3724/SP.J.1004.2012.00156

多率系统Kalman滤波算法的鲁棒性分析

Robustness Analysis of Kalman Filtering Algorithm for Multirate Systems

吴瑶 1罗雄麟1

作者信息

  • 1. 中国石油大学(北京)自动化研究所 北京 102249
  • 折叠

摘要

Abstract

The multirate Kalman filtering algorithm is an important method of fusing multi-source observations in multirate systems. The multirate Kalman filtering algorithm is given based on the multirate-sampling character of chemical processes, and the robustness of the algorithm under model mismatches is investigated. By analyzing the evolution pattern of the filtering error under given hypothesis, a basic judging method of multirate Kalman filtering divergence is proposed. Then, a criterion of the filter divergence property for a class of typical systems is derived. Simulation result shows that the proposed method can be applied to the multirate Kalman filtering algorithm.

关键词

多率系统/Kalman滤波/鲁棒性/滤波偏差比

Key words

Multirate system/ Kalman filter/ robustness/ filtering error ratio

引用本文复制引用

吴瑶,罗雄麟..多率系统Kalman滤波算法的鲁棒性分析[J].自动化学报,2012,38(2):156-174,19.

基金项目

国家自然科学基金(21006127,20976193)资助 (21006127,20976193)

自动化学报

OA北大核心CSCDCSTPCD

0254-4156

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