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Proceedings Paper

An integrated identification and predictive control strategy for high wind velocity adaptive optics applications
Author(s): Jesse Cranney; Jose De Dona; Visa Korkiakoski; Francois Rigaut
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Paper Abstract

Adaptive Optics (AO) systems rely on atmospheric turbulence models in order to reduce the effect of wave-front aberrations on image quality. Due to the nature of turbulence, these models can exploit shift-invariant structures without a severe loss in generality. The resulting subset of possible state-matrices is efficiently characterised for identification using Quadratic Programming (QP). Additionally, the initial assumption of shift-invariance is relaxed in order to accommodate for the boundary effect of finite-pupils.

Paper Details

Date Published: 18 July 2018
PDF: 11 pages
Proc. SPIE 10703, Adaptive Optics Systems VI, 107034U (18 July 2018); doi: 10.1117/12.2313090
Show Author Affiliations
Jesse Cranney, The Univ. of Newcastle (Australia)
SERC Ltd. (Australia)
Jose De Dona, The Univ. of Newcastle (Australia)
Visa Korkiakoski, SERC Ltd. (Australia)
The Australian National Univ. (Australia)
Francois Rigaut, SERC Ltd. (Australia)
The Australian National Univ. (Australia)


Published in SPIE Proceedings Vol. 10703:
Adaptive Optics Systems VI
Laird M. Close; Laura Schreiber; Dirk Schmidt, Editor(s)

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