论文标题
使用人工智能对SOA的最佳控制，用于子纳秒光学切换
Optimal Control of SOAs with Artificial Intelligence for Sub-Nanosecond Optical Switching
论文作者
论文摘要
使用人工智能算法（粒子群优化，蚂蚁菌落优化和遗传算法）切换超快速半导体光学放大器的新型方法和应用于模拟和实验。仅用4.8％的过冲，证明了有效的离线切换时间（沉降）时间为542 PS，与控制理论中文献和标准抑制技术中所述的先前尝试相比，获得了数量级的改善。
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.
