On Maximum Likelihood Estimation of Continuous-Time Oscillators Modelled as Continuous-Time Autoregressive System

被引：1

作者：

Coronel, M. ^{[1
]}

Gonzalez, K. ^{[1
]}

Escarate, P. ^{[2
]}

Carvajal, R. ^{[3
]}

Aguero, J. C. ^{[4
]}

机构：

[1] Univ Tecn Federico Santa Maria, Valparaiso, Chile

[2] Univ Austral Chile, Fac Ciencias Ingn, Inst Elect & Elect, Valdivia, Chile

[3] Univ Tecn Federico Santa Maria, Dept Elect, Valparaiso, Chile

[4] Univ Tecn Federico Santa Maria, Dept Ingn Elect, Valparaiso, Chile

来源：

IEEE LATIN AMERICA TRANSACTIONS | 2019年 / 17卷 / 07期

关键词：

Oscillators identification; continuous-time model; Maximum Likelihood; Adaptive Optics; Vibrations; PARAMETER-ESTIMATION; IDENTIFICATION;

D O I：

10.1109/TLA.2019.8931211

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 address the problem of identifying a continuous-time oscillator. We use a continuous-time autoregressive model to represent the oscillators. We asume that only discrete-time measurements are available, from which we obtain the oscillator equivalent discrete-time model in terms of the continuous-time model parameters. We identify the model using the Maximum Likelihood method.

引用

页码：1214 / 1219

页数：6

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