@inproceedings{4eb817865d444a6a86bf5140d905f369,
title = "Vibration model identification using the maximum likelihood method",
abstract = "Vibration effects acting in the science light path reduce the performance of the adaptive optics systems (AO). In order to mitigate the vibration effects and to improve the performance of the AO systems, an adequate model for the vibration in necessary. Traditionally, those vibrations are modelled as oscillators (with or without damping) driven by white noise. In this work, we address the identification of a continuous-time oscillator from discrete-time samples of the position. To this end, we use Maximum Likelihood estimation method to estimate the vibrations frequency.",
keywords = "Adaptive Optics, Continuous-time oscillator, Identification, Maximum Likelihood, Vibrations",
author = "Pedro Esc{\'a}rate and Mar{\'i}a Coronel and Karen Gonz{\'a}lez and Rodrigo Carvajal and Ag{\"u}ero, {Juan C.}",
note = "Funding Information: This work was supported by FONDECYT trough grant No 1181158, CONICYT-PFCHA/Doctorado Nacional/2017-21170804, the Advanced Center for Electrical and Electronic Engineering (AC3E, Proyecto Basal FB0008) and UTFSM, Chile. P. Esc{\'a}rate also thanks the partial support of Direcci{\'o}n de Investigaci{\'o}n, Universidad de los Lagos, Grant No. NU06/16 Publisher Copyright: {\textcopyright} 2018 SPIE.; null ; Conference date: 10-06-2018 Through 15-06-2018",
year = "2018",
doi = "10.1117/12.2314080",
language = "English",
isbn = "9781510619593",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Dirk Schmidt and Laura Schreiber and Close, {Laird M.}",
booktitle = "Adaptive Optics Systems VI",
}