摘要
利用模糊控制的思想，将误差、误差变化及加速度作为输入，建立一个神经网络控制器，对具有不确定性控制对象提出了一种自学习模糊神经网络控制方法．
Using the ideas of fuzzy control,an artificial neural network controller with error,error change and error acceleration as inputs is established for uncertain objects.A self learning neural network control approach to the controlled objects with uncertainties is presented in this paper.The results of experiment on control of the dynamic process of weld pool in the pulse TIG welding show that the self learning neural network control scheme presented in this paper is effective.
出处
《自动化学报》
EI
CSCD
北大核心
1997年第1期112-115,共4页
Acta Automatica Sinica
基金
国家自然科学基金
关键词
不确定对象
神经网络
自学习控制
Uncertain objects,self learning neural networks,fuzzy control.
