DocumentCode
2621233
Title
Nonlinear system identification with nonparametric deconvolution
Author
Greblicki, W. ; Pawlak, M.
Author_Institution
Inst. of Eng. Cybern., Tech. Univ. Wroclaw, Poland
fYear
1994
fDate
27 Jun-1 Jul 1994
Firstpage
124
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 1994. Proceedings., 1994 IEEE International Symposium on
Conference_Location
Trondheim
Print_ISBN
0-7803-2015-8
Type
conf
DOI
10.1109/ISIT.1994.394847
Filename
394847
Link To Document