DocumentCode :
866018
Title :
Recursive identification for Wiener model with discontinuous piece-wise linear function
Author :
Chen, Han-Fu
Author_Institution :
Inst. of Syst. Sci., Acad. of Math. & Syst. Sci., Beijing, China
Volume :
51
Issue :
3
fYear :
2006
fDate :
3/1/2006 12:00:00 AM
Firstpage :
390
Lastpage :
400
Abstract :
This paper deals with identification of Wiener systems with nonlinearity being a discontinuous piece-wise linear function. Recursive estimation algorithms are proposed to estimate six unknown parameters contained in the nonlinearity and all unknown coefficients of the linear subsystem by using the iid Gaussian inputs. The estimates are proved to converge to the corresponding true values with probability one. A numerical example is given to justify the obtained theoretical results.
Keywords :
Gaussian processes; control nonlinearities; linear systems; piecewise linear techniques; recursive estimation; Gaussian inputs; Wiener model; discontinuous piecewise linear function; linear subsystem; recursive estimation algorithms; recursive identification; Biological system modeling; Computational biology; Convergence; Helium; Kernel; Nonlinear dynamical systems; Parameter estimation; Piecewise linear techniques; Recursive estimation; Systems biology; Identification; Wiener system; kernel function; strong consistency;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/TAC.2005.864183
Filename :
1605400
Link To Document :
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