Optimal Control of SOAs with Artifical Intelligence for Sub-Nanosecond Optical Switching

Published in IEEE/OSA Journal of Lightwave Technology (JLT), 2020

Recommended citation: C. W. F. Parsonson, Z. Shabka, W. K. Chlupka, B. Goh and G. Zervas, "Optimal Control of SOAs with Artificial Intelligence for Sub-Nanosecond Optical Switching," IEEE/OSA Journal of Lightwave Technology (JLT), June 2020 https://ieeexplore.ieee.org/abstract/document/9124678

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.

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