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In this paper, a distributed fusion filtering problem for a linear discrete-time dynamic system with uncertainty is considered. All fusion filtering algorithms are based on fusion formulas which represent a weighted sum of the local Kalman estimates with matrix or scalar weights. The fusion weights are calculated by using four algorithms: convex combination, optimal fusion, covariance intersection,...
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