SINGLE SAMPLE MODAL IDENTIFICATION OF A NONSTATIONARY STOCHASTIC-PROCESS

被引：81

作者：

BENVENISTE, A

FUCHS, JJ

机构：

[1] Inst de Recherche en Informatique et, Systemes Aleatoires, Rennes, Fr, Inst de Recherche en Informatique et Systemes Aleatoires, Rennes, Fr

来源：

IEEE TRANSACTIONS ON AUTOMATIC CONTROL | 1985年 / 30卷 / 01期

关键词：

COMPUTER PROGRAMMING - Algorithms - VIBRATIONS - Measurements;

D O I：

10.1109/TAC.1985.1103787

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Gauss-Markov processes excited by nonstationary noises are encountered in the modeling of vibrating systems. The authors prove that the classical instrumental variable method, as well as the Ho-Kalman realization algorithm, for identifying the pole part (modal characteristics) of the model, are consistent when used on a single sample of the (nonstationary) signal.

引用

页码：66 / 74

页数：9

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