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In this paper, an extension of the standard Kalman filtering for the dynamical systems with white noises to finite-time correlated noises is addressed. Although one can augment the state vector with white noises in a time-variant moving average process which models the finite-time correlated noise, and then use standard Kalman filtering to obtain the optimal state estimate in the mean square error...
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