Nonparametric Input Density-Free Estimation of the Nonlinearity in Wiener Systems

被引：15

作者：

Greblicki, Wlodzimierz ^{[1
]}

机构：

[1] Wroclaw Univ Technol, Inst Comp Engn Control & Robot, PL-50370 Wroclaw, Poland

来源：

IEEE TRANSACTIONS ON INFORMATION THEORY | 2010年 / 56卷 / 07期

关键词：

Nonparametric estimation; nonparametric identification; nonparametric regression; system identification; Wiener system; IDENTIFICATION;

D O I：

10.1109/TIT.2010.2048461

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 nonlinear characteristic of a Wiener system is estimated under nonparametric a priori information. The probability density of the input signal is completely unknown and can be of any form. The estimate is asymptotically biased but its bias can be made arbitrarily small. Results of computer simulations are presented.

引用

页码：3575 / 3580

页数：6

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