ROBUST SYSTEM-IDENTIFICATION WITH NOISY EXPERIMENTAL-DATA - PROJECTION OPERATOR AND LINEAR ALGORITHMS

被引：2
|
作者：
BAI, EW
RAMAN, S
机构：
[1] Department of Electrical and Computer Engineering, University of Iowa, Iowa City
来源：
AUTOMATICA | 1994年 / 30卷 / 07期
基金：
美国国家科学基金会;
关键词：
SYSTEM IDENTIFICATION; PARAMETER ESTIMATION; FREQUENCY RESPONSE; CONVERGENCE ANALYSIS;
D O I：
10.1016/0005-1098(94)90215-1
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper we consider the problem of robust system identification with noisy time or frequency response measurement data. It is shown here that any linear identification algorithm which is convergent in the noise free case can be made robustly convergent in the presence of noise by incorporating a simple projection operator into the algorithm. The computational simplicity and faster rate of convergence distinguish this approach from other existing robustly convergent nonlinear identification techniques.
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页码：1203 / 1206
页数：4
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