Title :
Nonlinear system identification with nonparametric deconvolution
Author :
Greblicki, W. ; Pawlak, M.
Author_Institution :
Inst. of Eng. Cybern., Tech. Univ. Wroclaw, Poland
fDate :
27 Jun-1 Jul 1994
Abstract :
This paper deals with the problem of identification of cascade nonlinear systems. Deconvolution procedures for recovering the nonlinearities in the systems are proposed using orthogonal series techniques. Conditions for global convergence of the proposed estimates are established
Keywords :
cascade systems; convergence of numerical methods; deconvolution; estimation theory; identification; inverse problems; nonlinear systems; nonparametric statistics; statistical analysis; stochastic processes; time series; Hammerstein model; Wiener model; cascade nonlinear systems; estimates; global convergence; inverse problems; nonlinear system identification; nonparametric deconvolution; orthogonal series techniques; Convergence; Cybernetics; Deconvolution; Gaussian noise; Gaussian processes; Integral equations; Inverse problems; Nonlinear dynamical systems; Nonlinear systems; Statistics;
Conference_Titel :
Information Theory, 1994. Proceedings., 1994 IEEE International Symposium on
Conference_Location :
Trondheim
Print_ISBN :
0-7803-2015-8
DOI :
10.1109/ISIT.1994.394847
