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- W1995597265 abstract "The derivative-free nonlinear estimation methods exploiting the Stirling’s interpolation and the unscented transformation for discrete-time nonlinear stochastic systems are treated. The divided difference and unscented filters, smoothers, and predictors based on the methods are introduced in the unified framework. The new relations among the first order Stirling’s interpolation, the second order Stirling’s interpolation, and the unscented transformation are derived and their impact on the covariance matrices of the state estimates of the corresponding filters is analysed. The theoretical results are illustrated and used for the explanation of the unexpected behaviour of the sigma point Gaussian sum filters given as a mixture of the derivative-free filters." @default.
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- W1995597265 date "2009-07-01" @default.
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- W1995597265 title "Derivative-free estimation methods: New results and performance analysis" @default.
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- W1995597265 doi "https://doi.org/10.1016/j.automatica.2009.03.008" @default.
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