On maximum likelihood estimation of continuous-time oscillators modelled as continuous-time autoregressive system

Maria Coronel; Karen Gonzalez; Pedro Escarate; Rodrigo Carvajal; Juan Carlos Aguero

doi:10.1109/TLA.2019.8931211

On maximum likelihood estimation of continuous-time oscillators modelled as continuous-time autoregressive system

Maria Coronel, Karen Gonzalez, Pedro Escarate, Rodrigo Carvajal, Juan Carlos Aguero

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Original language	English
Article number	8931211
Pages (from-to)	1214-1219
Number of pages	6
Journal	IEEE Latin America Transactions
Volume	17
Issue number	7
DOIs	https://doi.org/10.1109/TLA.2019.8931211
State	Published - Jul 2019
Externally published	Yes

Keywords

Adaptive Optics
Continuous-time model
Maximum Likelihood
Oscillators identification
Vibrations

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10.1109/TLA.2019.8931211

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abstract = "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.",

keywords = "Adaptive Optics, Continuous-time model, Maximum Likelihood, Oscillators identification, Vibrations",

author = "Maria Coronel and Karen Gonzalez and Pedro Escarate and Rodrigo Carvajal and Aguero, {Juan Carlos}",

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KW - Adaptive Optics

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KW - Oscillators identification

KW - Vibrations

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On maximum likelihood estimation of continuous-time oscillators modelled as continuous-time autoregressive system

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Keywords

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