Reinforcement learning based robust control algorithms for coherent pulse stacking

被引：12

作者：

Abuduweili, Abulikemu ^{[1
]}

Wang, Jie ^{[1
]}

Yang, Bowei ^{[1
]}

Wang, Aimin ^{[1
]}

Zhang, Zhigang ^{[1
]}

机构：

[1] Peking Univ, Dept Elect, State Key Lab Adv Opt Commun Syst & Networks, Beijing 100871, Peoples R China

来源：

OPTICS EXPRESS | 2021年 / 29卷 / 16期

基金：

中国国家自然科学基金;

关键词：

FIBER LASER; BEAM COMBINATION; STABILIZATION; GENERATION; FUTURE; MJ;

D O I：

10.1364/OE.426906

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

For the fast and robust control of the delay lines for coherent pulse stacking, we combined the stochastic parallel gradient descent with momentum (SPGDM) and the soft actor-critic (SAC) into a powerful algorithm, SAC-SPGDM. The simulation shows that the algorithm can find the optimal delay-line positions to ensure the 128 pulses are coherently stacked for 7-stage pulses stacking within 25 steps. (C) 2021 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

引用

页码：26068 / 26081

页数：14

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