DRNN is used to adjust the parameters of PID control on-line, accordingly it can make static and dynamic performance index comparatively ideal.
利用对角递归神经网络在线自适应调整PID控制器的参数，从而使系统的静态和动态性能指标较为理想。
Fuzzy control is used to adjust the parameters of PID control on-line, accordingly it can make static and dynamic performance index comparatively ideal.
利用模糊控制在线自适应调整PID控制器的参数，从而使系统的静态和动态性能指标较为理想。
The non-parametric models of the unit-step response and frequency response and the dynamic performance index of both in time domain and in frequency domain are also given in this paper.
文中还给出了单位阶跃响应和频率响应两种非参数模型，以及时间域和频率域的动态性能指标。
应用推荐