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This paper presents the mean-square joint filtering and parameter identification problem for uncertain linear stochastic systems with unknown parameters in both, state and observation, equations, where the unknown parameters are considered Wiener processes. The original problem is reduced to the filtering problem for an extended state vector that incorporates parameters as additional states. The resulting...
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