iterative learning identification

基本解釋

Approach of iterative learning control for nonlinear continuous system based on model identification;
利用調制函數(shù)法辨識非線性連續(xù)系統(tǒng)的模糊模型蓡數(shù)。
Using identification of neural networks, a new method of robust iterative learning control algorithm is proposed in the paper.
在神經(jīng)網(wǎng)絡辨識的基礎上，提出一種新的魯棒疊代學習控制方法。
In order to reduce the errors of identification and iterative learning, a compensation controller is added in the control systems.
爲補償辨識和疊代學習誤差，給出了通過引入反餽補償控制器提高控制精度的方法。