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This project deals with system identification and machine learning of large-scale deformable mirrors used in adaptive optics. I have submitted two papers that deal with this important problem. The approaches can be generalized two other problems of estimating large-scale system with the dynamics described by partial differential equations.

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AleksandarHaber/Machine-Learning-and-System-Identification-for-Adaptive-Optics

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# Machine-Learning-and-System-Identification-for-Adaptive-Optics

IMPORTANT NOTE: First, thoroughly read the license in the file called LICENSE.md!

This repository contains COMSOL, LiveLink, Python and MATLAB codes we used to model a large-scale Deformable Mirror (DM) model and to estimate such a model using machine learning and subspace identification techniques.

  • The folder "subspace_identification" contains the codes used to identify the DM model using the Subspace Identification (SI) method.
  • The folder "comsol" contains the MATLAB, Python, COMSOL, and LiveLink codes used to generate DM models. These models are used for subspace identification and machine learning.

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This project deals with system identification and machine learning of large-scale deformable mirrors used in adaptive optics. I have submitted two papers that deal with this important problem. The approaches can be generalized two other problems of estimating large-scale system with the dynamics described by partial differential equations.

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