This paper introduces self-adaptive fuzzy PID controller to improve static and dynamic performance of magnetic suspension systems aiming at the characteristics of nonlinearity, hysteresis and uncertain model of the systems. The simulation results demonstrate that this fuzzy self-adaptive PID controller is more precise and less time-consuming for convergence, when uncertain parameters and disturbances exist at the same time, the system obtains better robust and stronger anti-interference ability.

结合了人工智能算法实现硬件的隐身，动态调节天线的反射波，实现对入射电磁波的隐身，是深度学习在硬件上应用的经典之作