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The introduction of nonlinearity in the dynamic or measurement model corrupts the standard (linear) propagation of the mean and covariance. This chapter proposes methods for coping with such ...
Abstract: The Kalman filter is a widely used computational tool for estimating unknown internal states of dynamical systems using noisy measurement data. In modern technologies, measurement data is ...