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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"

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" containts 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.

LICENSE: THIS CODE CAN BE USED FREE OF CHARGE ONLY FOR ACADEMIC AND EDUCATIONAL PURPOSES. THAT IS, IT CAN BE USED FREE OF CHARGE ONLY IF THE PURPOSE IS NON-COMMERCIAL AND IF THE PURPOSE IS NOT TO MAKE PROFIT OR EARN MONEY BY USING THIS CODE.

IF YOU WANT TO USE THIS CODE IN THE COMMERCIAL SETTING, THAT IS, IF YOU WORK FOR A COMPANY OR IF YOU ARE AN INDEPENDENT CONSULTANT AND IF YOU WANT TO USE THIS CODE, THEN WITHOUT MY PERMISSION AND WITHOUT PAYING THE PROPER FEE, YOU ARE NOT ALLOWED TO USE THIS CODE. YOU CAN CONTACT ME AT

ml.mecheng@gmail.com

TO INFORM YOURSELF ABOUT THE LICENSE OPTIONS AND FEES FOR USING THIS CODE. ALSO, IT IS NOT ALLOWED TO (1) MODIFY THIS CODE IN ANY WAY WITHOUT MY PERMISSION. (2) INTEGRATE THIS CODE IN OTHER PROJECTS WITHOUT MY PERMISSION.

DELIBERATE OR INDELIBERATE VIOLATIONS OF THIS LICENSE WILL INDUCE LEGAL ACTIONS AND LAWSUITS.

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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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