Recursive identification of Wiener systems with nonparametric nonlinearity

被引：0
|
作者：
Hu, Xiaoli [1 ]
Chen, Hanfu [1 ]
机构：
[1] Chinese Acad Sci, AMSS, Key Lab Syst & Control, Inst Syst Sci, Beijing 100080, Peoples R China
来源：
PROCEEDINGS OF THE 24TH CHINESE CONTROL CONFERENCE, VOLS 1 AND 2 | 2005年
关键词：
Wiener system; nonparametric nonlinearity; recursive estimate; strong consistency; stochastic approximation;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The paper concerns identification of the Wiener system consisting of a linear subsystem followed by a nonlinear memoryless block f (.) with no structure assumption, in particular, with no invertibility assumption. Recursive estimates are given for coefficients of the linear subsystem and for f (v) at any fixed v. All estimates given in the paper converge to the true values with probability one. A numerical example is given to justify the theoretical results.
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页码：263 / 267
页数：5
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