LASER STABILITY CONTROL WITH THE HELP OF A PERCEPTRON

We proposed and trained a feedforward neural network (multilayer perceptron) that can be used for the stability control of a semiconductor laser. The developed network was trained to approximate a proportional–integral–derivative (PID) controller. Hyperparameters tuning allowed to achieve mean square error.

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Publication Details

Published
2024-10-21
DOI
https://doi.org/10.61527/appfe-2024.52-53
Primary Topic
Advanced Fiber Optic Sensors
Type
article
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article

LASER STABILITY CONTROL WITH THE HELP OF A PERCEPTRON

Sergey V. Sukhov, Pavel Itrin, M.D. Hajrullov, I.S. Paniaev
Advanced Fiber Optic Sensors
article

LASER STABILITY CONTROL WITH THE HELP OF A PERCEPTRON

Sergey V. Sukhov, Pavel Itrin, M.D. Hajrullov, I.S. Paniaev
article en

Abstract

We proposed and trained a feedforward neural network (multilayer perceptron) that can be used for the stability control of a semiconductor laser. The developed network was trained to approximate a proportional–integral–derivative (PID) controller. Hyperparameters tuning allowed to achieve mean square error.

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Advanced Fiber Optic Sensors
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LASER STABILITY CONTROL WITH THE HELP OF A PERCEPTRON — Sergey V. Sukhov, Pavel Itrin, et al. · (2024) | TGRS Research Map | TGRS