SLIDE. A simple adaptive defuzzification method

被引：65

作者：

Yager, Ronald R. ^{[1
]}

Filev, Dimitar P. ^{[1
]}

机构：

[1] Iona Coll, New Rochelle, United States

来源：

IEEE Transactions on Fuzzy Systems | 1993年 / 1卷 / 01期

关键词：

Adaptive control systems - Algorithms - Control theory - Kalman filtering - Learning systems;

D O I：

10.1109/TFUZZ.1993.390286

中图分类号：

学科分类号：

摘要：

We introduce a parameterized family of defuzzification operators called the Semi LInear DEfuzzification (SLIDE) method. This method is based upon a simple transformation of the fuzzy output set of the controller. We suggest an algorithm for the learning of the parameter from a data set. In an attempt to simplify the parameter learning we suggest a modified version of the SLIDE method which results in a simple learning algorithm. The development of the learning algorithm is based upon the use of the Kalman filter.

引用

页码：69 / 78