A new approach for ARMA pole estimation using higher-order crossings

被引：21

作者：

Salsbury, TI ^{[1
]}

Singhal, A ^{[1
]}

机构：

[1] Johnson Controls Inc, Controls Res Grp, Milwaukee, WI 53202 USA

来源：

ACC: PROCEEDINGS OF THE 2005 AMERICAN CONTROL CONFERENCE, VOLS 1-7 | 2005年

关键词：

IDENTIFICATION;

D O I：

10.1109/ACC.2005.1470698

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 describes a new method for estimating the poles of an ARMA model using higher-order crossings. The method involves transforming counts of crossing events into estimates of ARMA poles via the autocorrelation domain. An important advantage of the method is that the crossing counts are the only features that need to be stored from the original data. The poles of an ARMA model of a control loop correspond to the roots of the characteristic equation and are thus useful for evaluating control performance.

引用

页码：4458 / 4463

页数：6

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