An integrated identification and predictive control strategy for high wind velocity adaptive optics applications

Jesse Cranney; Jose De Dona; Visa Korkiakoski; Francois Rigaut

doi:10.1117/12.2313090

An integrated identification and predictive control strategy for high wind velocity adaptive optics applications

Jesse Cranney, Jose De Dona, Visa Korkiakoski, Francois Rigaut

Advanced Instrumentation and Technology Centre

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings of SPIE - Adaptive Optics Systems VI
Editors	L. Close, L. Schreiber, D. Schmidt
Place of Publication	United States
Publisher	SPIE
Pages	1-12
ISBN (Print)	9781510619593
DOIs	https://doi.org/10.1117/12.2313090
Publication status	Published - 2018
Event	Adaptive Optics Systems VI 2018 - Austin, United States Duration: 1 Jan 2018 → … https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10703.toc

Conference

Conference	Adaptive Optics Systems VI 2018
Period	1/01/18 → …
Other	June 10-15 2018
Internet address	https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10703.toc

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10.1117/12.2313090

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title = "An integrated identification and predictive control strategy for high wind velocity adaptive optics applications",

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.",

author = "Jesse Cranney and {De Dona}, Jose and Visa Korkiakoski and Francois Rigaut",

year = "2018",

doi = "10.1117/12.2313090",

language = "English",

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booktitle = "Proceedings of SPIE - Adaptive Optics Systems VI",

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address = "United States",

note = "Adaptive Optics Systems VI 2018 ; Conference date: 01-01-2018",

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An integrated identification and predictive control strategy for high wind velocity adaptive optics applications. / Cranney, Jesse; De Dona, Jose; Korkiakoski, Visa et al.
Proceedings of SPIE - Adaptive Optics Systems VI. ed. / L. Close, L. Schreiber, D. Schmidt. United States: SPIE, 2018. p. 1-12.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - An integrated identification and predictive control strategy for high wind velocity adaptive optics applications

AU - Cranney, Jesse

AU - De Dona, Jose

AU - Korkiakoski, Visa

AU - Rigaut, Francois

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

U2 - 10.1117/12.2313090

DO - 10.1117/12.2313090

M3 - Conference contribution

SN - 9781510619593

SP - 1

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BT - Proceedings of SPIE - Adaptive Optics Systems VI

A2 - null, L. Close, L. Schreiber, D. Schmidt

PB - SPIE

CY - United States

T2 - Adaptive Optics Systems VI 2018

Y2 - 1 January 2018

ER -

An integrated identification and predictive control strategy for high wind velocity adaptive optics applications

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