A Nonparametric Adaptive Nonlinear Statistical Filter

3 Nov 2014Michael BuschJeff Moehlis

We use statistical learning methods to construct an adaptive state estimator for nonlinear stochastic systems. Optimal state estimation, in the form of a Kalman filter, requires knowledge of the system's process and measurement uncertainty... (read more)

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