[PDF][PDF] 机器学习在光纤激光阵列相位调控中的研究进展与发展趋势

高志强, 常琦, 刘昊宇, 李俊, 马鹏飞, 周朴 - 中国激光, 2023 - researching.cn
摘要光纤激光阵列相位调控技术既可以突破单路光纤激光功率提升瓶颈, 也是高功率特殊光场
生成的有效途径之一. 随着人工智能技术的迅速发展, 将先进的智能算法引入激光阵列系统的 …

Deep-learning-based coherent fiber laser array system for power scaling and spatial light structuring

T Hou, Y An, Q Chang, P Ma, J Li… - Fiber Lasers XIX …, 2022 - spiedigitallibrary.org
In this report, we will introduce our recent advances in developing the deep-learning-based
coherent fiber laser array systems for power scaling and spatial light structuring. Our …

32 路光纤激光相干阵列的相位锁定

粟荣涛, 周朴, 王小林, 马阎星, 许晓军 - 强激光与粒子束, 2014 - hplpb.com.cn
报道了32 路光纤激光相干阵列的相位锁定实验研究. 搭建了32 路光纤激光相干阵列实验系统,
基于现场可编程逻辑阵列(FPGA) 设计制作了高速高精度相位控制器. 当相位控制器执行随机 …

Machine learning for self-tuning mode-locked lasers with multiple transmission filters

M Bağcı, JN Kutz - JOSA B, 2024 - opg.optica.org
We develop an adaptive control and self-tuning procedure for mode-locked fiber laser
systems using multiple transmission filters. Each transmission filter set consists of two …

Machine learning for self-tuning mode-locked lasers with multiple transmission

M Bagci, J Kutz - Journal of the Optical Society of America B, 2023 - opg.optica.org
Mode-locking is a technique that allows a laser to produce extremely short light pulses on
the order of picoseconds (10− 12s) or femtoseconds (10− 15s). This technique works by …

[PDF][PDF] 犛犘犌犇算法在光纤激光相干阵列光束控制中的应用

王小林, 周朴, 马阎星, 马浩统, 许晓军, 赵伊君 - 光学学报, 2010 - researching.cn
摘要主动相位控制的光纤激光阵列相干合成在提高输出功率的同时能够保证良好的光束质量,
其关键技术在于光纤激光相干阵列的锁相控制. 基于随机并行梯度下降(SPGD) …

Machine learning methods for control of fibre lasers with double gain nonlinear loop mirror

A Kokhanovskiy, A Ivanenko, S Kobtsev, S Smirnov… - Scientific reports, 2019 - nature.com
Many types of modern lasers feature nonlinear properties, which makes controlling their
operation a challenging engineering problem. In particular, fibre lasers present both high …

On-demand phase control of a 7-fiber amplifiers array with neural network and quasi-reinforcement learning

M Shpakovych, G Maulion, A Boju, P Armand… - Photonics, 2022 - mdpi.com
We report a coherent beam combining technique using a specific quasi-reinforcement
learning scheme. A neural network learned by this method enables the tailoring and locking …

Deep learning and model predictive control for self-tuning mode-locked lasers

T Baumeister, SL Brunton, JN Kutz - JOSA B, 2018 - opg.optica.org
Self-tuning optical systems are of growing importance in technological applications such as
mode-locked fiber lasers. Such self-tuning paradigms require intelligent algorithms capable …

Deep learning piston aberration control of fiber laser phased array by spiral phase modulation

J Zuo, H Jia, C Geng, Q Bao, F Zou, Z Li… - Journal of Lightwave …, 2022 - ieeexplore.ieee.org
The stochastic parallel gradient descent (SPGD) algorithm is usually employed as the
control strategy for phase-locking in fiber laser phased array systems. However, the …