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
Link To Document :
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