@inproceedings{d503e27197a5462a9adab1995d020ada,
title = "Challenges in simulating advanced control methods for AO",
abstract = "This paper discusses various practical problems arising in the design and simulation of predictive control methods for adaptive optics. Although there has been increased attention towards optimal prediction and control methods for AO systems, they are often tested in simplified simulation environments. The use of advanced AO simulators however, is a valuable alternative to the use of real data or laboratory experiments, as they provide both a flexible environment which is ideal for testing a new algorithm and are more accessible to non-experts. Topics that are often not explicitly discussed, such as the identification of a turbulence dynamics model from data, the use of matrix structures in AO systems to decrease the computational complexity and the implementation of Kalman filters to optimally deal with realistic noise conditions are examined. All topics discussed are illustrated by an accompanying Matlab code, which is based on the existing Matlab AO toolbox OOMAO.",
keywords = "Adaptive Optics Simulation, Optimal control, System identification, Turbulence modelling, Wavefront prediction",
author = "Pieter Piscaer and Oleg Soloviev and Michel Verhaegen",
year = "2020",
doi = "10.1117/12.2577241",
language = "English",
isbn = "9781510636835",
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",
address = "United States",
note = "Adaptive Optics Systems VII 2020 ; Conference date: 14-12-2020 Through 22-12-2020",
}