IDENTIFICATION OF FUZZY RELATIONAL MODEL AND ITS APPLICATION TO CONTROL

被引：25

作者：

YI, SY ^{[1
]}

CHUNG, MJ ^{[1
]}

机构：

[1] KOREA ADV INST SCI & TECHNOL,DEPT ELECT ENGN,373-1 KUSONG DONG,YUSONG GU,TAEJON 305701,SOUTH KOREA

来源：

FUZZY SETS AND SYSTEMS | 1993年 / 59卷 / 01期

关键词：

FUZZY RELATIONAL MODEL; MAX-PRODUCT OPERATION; UNKNOWN DYNAMIC SYSTEM; RECURSIVE LEAST SQUARE METHOD; POSSIBILITY;

D O I：

10.1016/0165-0114(93)90222-4

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In the cases of control systems where physical mechanisms are not well known due to high complexity and nonlinearity, a fuzzy relational model may be useful. In this paper, we propose a recursive parameter tuning algorithm for the identification of fuzzy relational model for an unknown dynamic system. Furthermore, using the fact that a dynamic system is represented by the relational strength between a few reference input and output fuzzy sets in the fuzzy relational model, we construct a control input fuzzy set inducing a desired output fuzzy set by calculating the possibility between the model output and the desired output fuzzy set for the control purpose. Simulation results show the usefulness of the proposed identification and control algorithms.

引用

页码：25 / 33

页数：9

共 14 条

[1]

BELLMAN RE, 1970, MANAGE SCI B-APPL, V17, pB141

[2] EFFICIENT IMPLEMENTATION OF THE FUZZY C-MEANS CLUSTERING ALGORITHMS [J].