Since 1978 Published in Sarov (Arzamas-16), Nizhegorodskaya oblast
RUSSIAN FEDERAL NUCLEAR CENTER -
ALL-RUSSIAN RESEARCH INSTITUTE OF EXPERIMENTAL PHYSICS
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IDENTIFICATION OF MULTIDIMENSIONAL NON-STATIONARY DYNAMIC OBJECTS WITH KALMAN FILTRATION METHOD
V. M. Ponyatsky VANT. Ser.: Mat. Mod. Fiz. Proc 2004. Вып.1. С. 81-86.
The problem of dynamic processes identification from measured information signals is studied. The Kalman filtration method is used for model parameters estimation. The results of real processes testing and identification are presented.
English
