Fuzzy adaptive Kalman filtering algorithm based on the statistics of t distribution

被引：0
|
作者：
Institute of Surveying and Mapping, Information Engineering University, Zhengzhou 450052, China [1 ]
不详 [2 ]
机构：
来源：
Cehui Xuebao | 2008年 / 4卷 / 428-432期
关键词：
Adaptive factors - Adaptive Kalman filtering - Dynamics modeling - Fuzzy adaptive - Fuzzy controllers - Observation information - State estimates - T distribution;
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学科分类号：
摘要：
Combining adaptive Kalman filtering and fuzzy control theory, a fuzzy adaptive Kalman filtering is proposed based on the statistics of t distribution constructed by residual deviation. A fuzzy controller for adjusting adaptive factor α is set up according to the statistic, which can balance the contribution of dynamics model information and observation information to the state estimates. At last, it is shown, by calculation and analysis, that the proposed adaptive filtering is feasible and effective.
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