Identification of MISO nonlinear regressions in the presence of a wide class of disturbances

A nonparametric algorithm, based on multiple Fourier series, for identification of MISO (multidimensional-input-single-output) systems is investigated. It is shown that the algorithm converges for a wide class of noise. >