Machine learning pattern recognition algorithm with applications to coherent laser combination

We analyze a new kind of machine learning algorithm designed to feedback stabilize coherently combined lasers. This algorithm learns differential, rather than absolute, values of action in phase space, in order to facilitate learning on initially unstable systems. Experiments have shown that this ap...

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Veröffentlicht in:	IEEE journal of quantum electronics Jg. 58; H. 6; S. 1
Hauptverfasser:	Wang, Dan, Du, Qiang, Zhou, Tong, Gilardi, Antonio, Kiran, Mariam, Mohammed, Bashir, Li, Derun, Wilcox, Russell
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.12.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Aerospace electronics Algorithms Artificial neural networks Coherent Beam Combination Control Laser beams Machine learning MATHEMATICS AND COMPUTING Measurement by laser beam Neural Network Pattern recognition Phase Drift Photonic Signal Processing Stability analysis Training
ISSN:	0018-9197, 1558-1713
Online-Zugang:	Volltext
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