Optimal Control of SOAs with Artificial Intelligence for Sub-Nanosecond Optical Switching
Systems and Control
2020-10-28 v1 Systems and Control
Signal Processing
Abstract
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.
Keywords
Cite
@article{arxiv.2006.12165,
title = {Optimal Control of SOAs with Artificial Intelligence for Sub-Nanosecond Optical Switching},
author = {Christopher W. F. Parsonson and Zacharaya Shabka and W. Konrad Chlupka and Bawang Goh and Georgios Zervas},
journal= {arXiv preprint arXiv:2006.12165},
year = {2020}
}
Comments
This manuscript was accepted for publication in the IEEE/OSA Journal of Lightwave Technology on 21st June 2020. Open access code: https://github.com/cwfparsonson/soa_driving Open access data: https://doi.org/10.5522/04/12356696.v1