A new control scheme using a universal approximator based on a radial basis function network (RBFN) is proposed and
investigated for improving the control characteristics of the high-performance motion control system. This control method presents
better performance in the corresponding speed vibration response, compared with the inverse model-based disturbance observer.
The proposed RBFN-universal approximator keeps the self-learning capability, whereas the inverse model-based disturbance
observer with the low-pass filter should adjust the time constant of the filter according to the resonance frequency determined by
varying the system parameters. The simulation results show the validity of the proposed control scheme.