Displaying similar documents to “The strong pointwise convergence of nearest neighbor function fitting algorithm with applications to system identification”

Generalized kernel regression estimatefor the identification of Hammerstein systems

Grzegorz Mzyk (2007)

International Journal of Applied Mathematics and Computer Science

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A modified version of the classical kernel nonparametric identification algorithm for nonlinearity recovering in a Hammerstein system under the existence of random noise is proposed. The assumptions imposed on the unknown characteristic are weak. The generalized kernel method proposed in the paper provides more accurate results in comparison with the classical kernel nonparametric estimate, regardless of the number of measurements. The convergence in probability of the proposed estimate...