The Adaptive Kalman Filter Based on Improved Variable Oblivion Factor Least Square Arithmetic

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Adopting improved variable oblivion factor least square arithmetic to real-time amend Kalman’s state transfer matrix, we put Maple Dam reservoir flood forecast real-time adjustment for example, then apply and compare with other ways. The result shows this arithmetic is preferable.

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Periodical:

Advanced Materials Research (Volumes 181-182)

Edited by:

Qi Luo and Yuanzhi Wang

Pages:

124-129

Citation:

Y. Song, "The Adaptive Kalman Filter Based on Improved Variable Oblivion Factor Least Square Arithmetic", Advanced Materials Research, Vols. 181-182, pp. 124-129, 2011

Online since:

January 2011

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