Paper
18 July 2018 An integrated identification and predictive control strategy for high wind velocity adaptive optics applications
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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.
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Jesse Cranney, Jose De Dona, Visa Korkiakoski, and Francois Rigaut "An integrated identification and predictive control strategy for high wind velocity adaptive optics applications", Proc. SPIE 10703, Adaptive Optics Systems VI, 107034U (18 July 2018); https://doi.org/10.1117/12.2313090
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Cited by 1 scholarly publication.
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KEYWORDS
Adaptive optics

Turbulence

Data modeling

Actuators

Chemical elements

Matrices

Statistical modeling

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