@inproceedings{b018cdb4e25640d7905fb5d303b0833a,
title = "Predictive learn and apply: MAVIS application-apply",
abstract = "The Learn and Apply tomographic reconstructor coupled with the pseudo open-loop control scheme shows promising results in simulation for multi-conjugate adaptive optics systems. We motivate, derive, and demonstrate the inclusion of a predictive step in the Learn and Apply tomographic reconstructor based on frozen-flow turbulence assumption. The addition of this predictive step provides an additional gain in performance, especially at larger wave-front sensor exposure periods, with no increase of online computational burden. We provide results using end-to-end numerical simulations for a multi-conjugate adaptive optics system for an 8m telescope based on the MAVIS system design.",
keywords = "Adaptive Optics, Learn and Apply, MAVIS, MCAO, POLC., Predictive Control",
author = "Jesse Cranney and Hao Zhang and Nicolas Doucet and Fran{\c c}ois Rigaut and Damien Gratadour and Visa Korkiakoski and {De Don{\'a}}, Jos{\'e} and Yuxi Hong and Hatem Ltaief and David Keyes",
note = "Publisher Copyright: {\textcopyright} 2020 SPIE.; Adaptive Optics Systems VII 2020 ; Conference date: 14-12-2020 Through 22-12-2020",
year = "2020",
doi = "10.1117/12.2561914",
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",
address = "United States",
}