Title :
Learn to produce fuzzy control rules with UCL
Author :
Xiaozhong, Li ; Zemin, Liu
Author_Institution :
Beijing Univ. of Posts & Telecommun., China
Abstract :
Bart Kosko (1990) has proposed a method to produce fuzzy control rules using unsupervised competitive learning (UCL). But experiments show that some problems are waiting for further study. This paper discusses two of those problems. (1) How to partition the universe of discourse of the fuzzy variables in the rules. (2) How to determine the rules according to the clustering results. This paper presents two new methods to solve these two problems. Their effectiveness was proved by the simulation results from an inverted pendulum system
Keywords :
fuzzy control; unsupervised learning; clustering results; fuzzy control rules; fuzzy variables; inverted pendulum system; universe of discourse; unsupervised competitive learning; Control theory; Frequency; Fuzzy control; Fuzzy sets;
Conference_Titel :
Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1896-X
DOI :
10.1109/FUZZY.1994.343623
