样条学习前馈控制(LFFC)是一种在被控系统不能精确建模时仍能保证跟踪性的控制方法。
B-spline Learning Feed-Forward control (LFFC) is a control strategy to obtain accurate tracking and is subject to reproducible disturbances.
PD反馈控制器用于使系统达到稳定，同时和前馈的神经网络学习控制器一起使系统达到理想的控制效果。
By PD controller which is used to make system more stable, the system can reach ideal control effects with the feed forward neural learning controller.
小脑模型清晰度控制器(CMAC)是一种局部学习前馈网络，结构简单，收敛速度快，易于实现。
CMAC (Cerebellar Model Articulation Controller) is a kind of local learning feed - forward neural network with simple architecture, quick learning convergence and effective implementation.
针对其中采用的前馈控制与自学习策略、数学模型的设定、修正计算和控冷过程跟踪控制等作了深入的分析。
Moreover, the adopting feedforward control and self-learning strategy, mathematics model enactment and revision calculation and control cooling process control etc analysed deeply.
针对其中采用的前馈控制与自学习策略、数学模型的设定、修正计算和控冷过程跟踪控制等作了深入的分析。
Moreover, the adopting feedforward control and self-learning strategy, mathematics model enactment and revision calculation and control cooling process control etc analysed deeply.
应用推荐