实验证明,系统具有良好的速度和位置控制性能,有着广阔的发展前景。
Experiments proved that this system has good control capability for speed and position and has good foreground.
其方便的人机界面,可靠的控制性能,取得了良好的效果。
The convenient human machine interface and reliable control capability have achieved good effect.
当被控对象的特性发生变化时,可对混合神经网络权值及时进行修正并调整控制器参数使控制系统始终保持良好的控制性能。
The control system can adjust the weights of hybrid neural network and the parameters of controller timely to keep good control performance when the character of controlled plant varies.
应用推荐