@inproceedings{c7de15a4113c46fbaf4290da365ea11d,
title = "Identification and model predictive control of an experimental adaptive optics setup utilizing Kautz basis functions",
abstract = "In this paper, we develop an identification technique based on continuous-time Kautz basis functions and Maximum Likelihood estimation from discrete-time data to obtain a continuous-time model of a laboratory adaptive optics system. We illustrate the proposed identification method using synthetic data and experimental data of a laboratory adaptive optics setup. Finally we utilize the estimated model to develop a Model Predictive Control strategy that considers the deformable mirror actuation constraints. We illustrate the benefits of the model predictive control strategy via simulations and compare it against the classical Proportional-Integral controller.",
author = "Mar{\'i}a Coronel and Nicol{\'a}s Soto and Rodrigo Carvajal and Pedro Esc{\'a}rate and Ag{\"u}ero, {Juan C.}",
note = "Publisher Copyright: {\textcopyright} 2020 SPIE.; Adaptive Optics Systems VII 2020 ; Conference date: 14-12-2020 Through 22-12-2020",
year = "2020",
doi = "10.1117/12.2561097",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Laura Schreiber and Dirk Schmidt and Elise Vernet",
booktitle = "Adaptive Optics Systems VII",
}