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Definite modeling and known invariant parameters (including system parameters and noise statistics) are prerequisites of the well-known extended Kalman filtering (EKF). Naturally the performance of EKF may be degraded due to the fact that the statistics of measurement noise might change in practical situations. For nonlinear systems, an adaptive variational Bayesian extended Kalman filtering (AVBEKF)...
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