基于人工智能负载估计系统的磁浮列车垂向振动主动控制

提出了基于人工智能负载估计系统的磁浮列车悬浮系统主动控制方法。给出单点悬浮数学模型,并基于劳斯-赫尔维兹判据证明该模型开环不稳定;考虑负载特征和实时悬浮变化,利用多层人工神经网络对悬浮系统控制量的输出进行主动控制;采用非支配排序遗传算法(NSGA)对系统参数进行优化。结果表明:所提出的控制方法具有较好的鲁棒性,在较大负载扰动时仍然能够保持相对较小的误差

Determination of the number of ψ(3686) events taken at BESIII

The number of ψ(3686) events collected by the BESIII detector during the 2021 run period is determined to be (2259.3±11.1)×106 by counting inclusive ψ(3686) hadronic events. The uncertainty is systematic and the statistical uncertainty is negligible. Meanwhile, the numbers of ψ(3686) events collected during the 2009 and 2012 run periods are updated to be (107.7±0.6)×106 and (345.4±2.6)×106, respectively. Both numbers are consistent with the previous measurements within one standard deviation. The total number of ψ(3686) events in the three data samples is (2712.4±14.3)×10^