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Approximating the Riccati Equation solution for optimal estimation in large-scale Adaptive Optics systems

机译:大尺寸自适应光学系统中最优估计的Riccati方程解决方案

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Adaptive Optics (AO) is a technique that allows the compensation of the atmospheric turbulence effects on ground-based telescopes by means of an actively controlled deformable mirror (DMs), fed back based on the measurements obtained with one or more wavefront sensors (WFSs). For extremely large telescope (more than 20 m in diameter) the number of input and output channels can be in the range of the thousands or tens of thousands, making it problematic to apply optimal control solutions due to the heavy computational load. In this paper we show how it is possible to obtain a quick approximation of the solution of the Discrete Algebraic Riccati Equation (DARE) associated to a certain class of AO optimal control problems, and how the performance are affected by the use of such approximations.
机译:自适应光学器件(AO)是一种通过主动控制的可变形镜(DMS)来补偿基于地基望远镜的大气湍流效应,基于用一个或多个波前传感器(WFSS)获得的测量反馈。对于极大的望远镜(直径超过20米),输入和输出通道的数量可以在数千或成千上万的范围内,这使得由于较重的计算负载而施加最佳控制解决方案。在本文中,我们示出了如何获得与某个类别的AO最佳控制问题相关的离散代数Riccati等式(DARE)的快速近似,以及如何通过使用这种近似的性能影响。

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