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An experimental evaluation of Kalman filtering

✍ Scribed by James C. Hamilton; Dale E. Seborg; D. Grant Fisher

Publisher
American Institute of Chemical Engineers
Year
1973
Tongue
English
Weight
948 KB
Volume
19
Category
Article
ISSN
0001-1541

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Adaptive fading Kalman filter with an ap
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A new adaptive state estimation algorithm, namely adaptive fading Kalman filter (AFKF), is proposed to solve the divergence problem of Kalman filter. A criterion function is constructed to measure the optimality of Kalman filter. The forgetting factor in AFKF is adaptively adjusted by minimizing the