DocumentCode
1660748
Title
Identification of dynamic nonlinear systems using the Hermite series approach
Author
Krzyzak, A. ; Sasiadek, J.Z. ; Zhu, P.
Author_Institution
Dept. of Comput. Sci., Concordia Univ., Montreal, Que., Canada
Volume
2
fYear
1994
Firstpage
1731
Abstract
The paper studies convergence and the rates of convergence of nonparametric identification procedures based on the Hermite series regression estimate for three classes of block oriented systems: a cascade of nonlinear memoryless systems, Hammerstein systems and Wiener systems
Keywords
cascade systems; convergence; identification; nonlinear dynamical systems; series (mathematics); statistical analysis; stochastic processes; Hammerstein systems; Hermite series regression estimate; Wiener systems; block oriented systems; dynamic nonlinear systems; nonlinear memoryless systems cascade; nonparametric identification convergence; Aerodynamics; Aerospace engineering; Computer science; Convergence; Ear; Fourier series; Kernel; Linearity; Memoryless systems; Nonlinear systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1994., Proceedings of the 33rd IEEE Conference on
Conference_Location
Lake Buena Vista, FL
Print_ISBN
0-7803-1968-0
Type
conf
DOI
10.1109/CDC.1994.411187
Filename
411187
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