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The technique is combined with the recently developed sparse-grid quadrature (SGQ) filtering to improve the accuracy and robustness of the state estimation when the noise statistics is not known a priori. The proposed new SGQ filter (S$GQH_\infty $F) is compared with other filters via two numerical examples. It is shown that the S$GQH_\infty $F is more robust and accurate...
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