iterative learning identification

基本解释

Approach of iterative learning control for nonlinear continuous system based on model identification;
利用调制函数法辨识非线性连续系统的模糊模型参数。
Using identification of neural networks, a new method of robust iterative learning control algorithm is proposed in the paper.
在神经网络辨识的基础上，提出一种新的鲁棒迭代学习控制方法。
In order to reduce the errors of identification and iterative learning, a compensation controller is added in the control systems.
为补偿辨识和迭代学习误差，给出了通过引入反馈补偿控制器提高控制精度的方法。