Martin Simandl

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Estimation of noise covariance matrices for linear or nonlinear stochastic dynamic systems is treated. The stress is laid on the case when the initial state mean and covariance matrix are exactly known. The properties of the innovation sequence of the Kalman Filter and the local filters are discussed and the new offline method for estimation of the(More)
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