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arXiv · 2006.12165

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

Christopher W. F. Parsonson·Zacharaya Shabka·W. Konrad Chlupka·Bawang Goh·Georgios Zervas
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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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Christopher W. F. Parsonson, Zacharaya Shabka, W. Konrad Chlupka, Bawang Goh, Georgios Zervas. 2020-06-22. Optimal Control of SOAs with Artificial Intelligence for Sub-Nanosecond Optical Switching. https://doi.org/10.1109/jlt.2020.3004645

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