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State estimation of nonlinear dynamic systems is an important problem in practice. This paper proposes a recursive state estimation method for nonlinear dynamic systems using Gaussian processes (GP) and pre-computed local linear models. Gaussian processes exhibit remarkable learning, or nonlinear regression capabilities from measurement data. The incorporation of pre-computed local linear models reduces...
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