[图书][B] Principles of adaptive optics

RK Tyson, BW Frazier - 2022 - taylorfrancis.com
Principles of Adaptive Optics describes the foundations, principles, and applications of
adaptive optics (AO) and its enabling technologies. This leading textbook addresses the …

Convolution/volterra reduced-order modeling for nonlinear aeroelastic limit cycle oscillation analysis and control

C Brown, G McGowan, K Cooley, J Deese, T Josey… - AIAA Journal, 2022 - arc.aiaa.org
A methodology for leveraging a combination of linear (through convolution integrals) and
nonlinear (through Volterra series) reduced-order modeling (ROM) development was …

Adaptive distributed Kalman filtering with wind estimation for astronomical adaptive optics

P Massioni, L Gilles, B Ellerbroek - JOSA A, 2015 - opg.optica.org
In the framework of adaptive optics (AO) for astronomy, it is a common assumption to
consider the atmospheric turbulent layers as “frozen flows” sliding according to the wind …

Structured modeling and control of adaptive optics systems

C Yu, M Verhaegen - IEEE Transactions on Control Systems …, 2017 - ieeexplore.ieee.org
The objective of adaptive optics (AO) system control is to design an output feedback
controller to reduce the adverse effect of the phase aberration caused by the atmospheric …

A new temporal control approach for SCAO systems

M Pöttinger, R Ramlau, G Auzinger - Inverse Problems, 2019 - iopscience.iop.org
Adaptive optics (AO) systems for ground-based telescopes use deformable mirrors to
physically correct wavefront distortions induced by atmospheric turbulence. Due to time …

[图书][B] Data-Driven Identification of Networks of Dynamic Systems

M Verhaegen, C Yu, B Sinquin - 2022 - books.google.com
This comprehensive text provides an excellent introduction to the state of the art in the
identification of network-connected systems. It covers models and methods in detail …

Dual-update data-driven control of deformable mirrors using Walsh basis functions

A Haber, T Bifano - JOSA A, 2022 - opg.optica.org
We develop a novel data-driven method for deformable mirror (DM) control. The developed
method updates both the DM model and DM control actions that produce desired mirror …

Data-driven estimation, tracking, and system identification of deterministic and stochastic optical spot dynamics

A Haber, M Krainak - Optics Express, 2023 - opg.optica.org
Stabilization, disturbance rejection, and control of optical beams and optical spots are
ubiquitous problems that are crucial for the development of optical systems for ground and …

Sparse data-driven wavefront prediction for large-scale adaptive optics

P Cerqueira, P Piscaer, M Verhaegen - JOSA A, 2021 - opg.optica.org
This paper presents a computationally efficient wavefront aberration prediction framework
for data-driven control in large-scale adaptive optics systems. Our novel prediction algorithm …

Convolution/Volterra Reduced-Order Modeling for Flutter and LCO Predictions in Highly Nonlinear Systems

CS Brown, GZ McGowan, K Cooley, EH Dowell… - AIAA Scitech 2022 …, 2022 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2022-0991. vid A methodology for
leveraging a combination of linear (through convolution integrals) and nonlinear (through …