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

Authors:
L. Rutkowski
Affiliations:
Sch. of Electr. & Comput. Eng., Oklahoma State Univ., Stillwater, OK
Venue:
IEEE Transactions on Information Theory
Year:
2006

Citing 0
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Abstract

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