IDENTIFICATION OF LINEAR RELATIONS FROM NOISY DATA - GEOMETRICAL ASPECTS

被引：5

作者：

BEGHELLI, S ^{[1
]}

SOVERINI, U ^{[1
]}

机构：

[1] UNIV BOLOGNA,DIPARTIMENTO ELETTRON INFORMAT & SISTEMIST,I-40136 BOLOGNA,ITALY

来源：

SYSTEMS & CONTROL LETTERS | 1992年 / 18卷 / 05期

关键词：

LINEAR ALGEBRA; FRISCH SCHEME; SYSTEM IDENTIFICATION; PARAMETER ESTIMATION; LINEAR SYSTEMS;

D O I：

10.1016/0167-6911(92)90023-L

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 problem of determining linear models from data corrupted by noise has been revisited by several authors in recent years. With reference to the Frisch scheme, this work presents some geometrical aspects regarding the sets of solutions obtained in the identification procedure. An analysis is made on how these sets vary as the amount of noise on the data varies; the existence of particular solutions for data linked by a number of linear relations greater than one, is also shown.

引用

页码：339 / 346

页数：8

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