As magnetic levitation system has the characteristics of nonlinearity and open-loop instability

it is difficult to achieve ideal effect with conventional control.In this paper

an improved RBF on-line identification method of adaptive PID control is proposed based on traditional PID control and the self-learning

adaptive capacity of RBF neural networks.In order to satisfy the static and dynamic performance requirements of magnetic levitation system and avoid the large overshoot following the short and large ...