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Optimal Control of SOAs With Artificial Intelligence for Sub-Nanosecond Optical Switching

Novel approaches to switching ultra-fast semiconductor optical amplifiers using artificial intelligence algorithms (particle swarm optimisation, ant colony optimisation, and a genetic algorithm) are developed and applied both in simulation and experiment. Effective off-on switching (settling) times of 542 ps are demonstrated with just 4.8% overshoot, achieving an order of magnitude improvement over previous attempts described in the literature and standard dampening techniques from control theory.

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Judul Seri

JOURNAL OF LIGHTWAVE TECHNOLOGY; Vol.38 No.20 October 15 2020

No. Panggil

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Penerbit

: .,

Deskripsi Fisik

p. 5563 - 5573

Bahasa

English

ISBN/ISSN

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Klasifikasi

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Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

ARTIFICIAL INTELLIGENCE
OPTICAL SWITCHING
GENETIC ALGORITHM
SEMICONDUCTOR OPTICAL AMPLIFIERS
OPTICAL INTERCONNECTS
OPTICAL NETWORKS
DATA CENTRE NETWORKS
ANT COLONY OPTIMISATION
PARTICLE SWARM OPTIMISATION

Info Detail Spesifik

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Pernyataan Tanggungjawab

Christopher W. F. Parsonson, Zacharaya Shabka, W. Konrad Chlupka, Bawang Goh, Georgios Zervas

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