Identification of Errors-In-Variables Systems with Nonlinear Output Measurements

被引：0

作者：

Song, Qijiang ^{[1
]}

机构：

[1] Renmin Univ China, Sch Informat, Dept Math, Beijing 100872, Peoples R China

来源：

PROCEEDINGS OF THE 31ST CHINESE CONTROL CONFERENCE | 2012年

关键词：

Errors-in-variables (EIV); System Identification; Nonlinear Measurement; Stochastic Approximation (SA); ARMA; Recursive Estimate; Strong consistency; MODELS;

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：

This paper concerns the identification problem of the errors-in-variables (EIV) systems with nonlinear output measurements using iid inputs. Under reasonable conditions, recursive estimates are given for the parameters of the EIV systems. The strong consistency of the recursive algorithms is proved. Two simulation examples are provided, which justify the theoretical results.

引用

页码：1820 / 1825

页数：6

共 14 条

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