DocumentCode
550339
Title
Recursive identification for Wiener-Hammerstein system
Author
Mu Bi-Qiang ; Chen Han-Fu
Author_Institution
Key Lab. of Syst. & Control, Chinese Acad. of Sci., Beijing, China
fYear
2011
fDate
22-24 July 2011
Firstpage
1494
Lastpage
1498
Abstract
The paper concerns identification of the Wiener-Hammerstein system consisting of a linear subsystem in cascade with a static nonlinearity f(·) followed by another linear subsystem with internal and output noises. Recursive estimates are given for coefficients of both linear subsystems and for the value f(y) at any fixed y. All estimates are proved to converge to the true values with probability one. A numerical example is given justifying the theoretical analysis.
Keywords
control nonlinearities; identification; linear systems; recursive estimation; stochastic processes; Wiener-Hammerstein system; cascade; linear subsystem; recursive estimates; recursive identification; static nonlinearity; Analytical models; Approximation methods; Biological system modeling; Convergence; Noise; Polynomials; Stochastic processes; α-mixing; Nonparametric method; Recursive estimates; Stochastic approximation; Strongly consistent; Wiener-Hammerstein system;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2011 30th Chinese
Conference_Location
Yantai
ISSN
1934-1768
Print_ISBN
978-1-4577-0677-6
Electronic_ISBN
1934-1768
Type
conf
Filename
6000677
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