摘要
提出一种基于模糊空间非标准划分的模糊神经控制方法。该方法克服了基于模糊空间标准划分 (网格状划分 )的模糊子空间急剧增加(指数增长 )的弊病 ,减少了计算负担。
In this paper,a novel fuzzy neural control approach based on the nonstandard partition of fuzzy space is proposed.This scheme can get rid of the weakness of dynamic increase of the number of fuzzy sub spaces when the standard partition of fuzzy space is used,and decreases the calculatio burden.The simulation researches for the inverted pendulum control show that the presented method is effective.
出处
《电气电子教学学报》
2000年第4期17-19,共3页
Journal of Electrical and Electronic Education
关键词
模糊空间
非标准划分
模糊神经控制
控制系统
fuzzy space
nonstandard partition
fuzzy neural control
inverted pendulum