@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 = "Publisher Copyright: {\textcopyright} 2018 SPIE.; Adaptive Optics Systems VI 2018 ; 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",
}