FUZZY MODEL IDENTIFICATION AND SELF-LEARNING FOR DYNAMIC SYSTEMS.

被引：0

作者：

Xu, Chen-Wei ^{[1
]}

Lu, Yong-Zai ^{[1
]}

机构：

[1] Zheijiang Univ, Lab for Ind Process, Modelling & Control, Hangzhou,, Ch, Zheijiang Univ, Lab for Ind Process Modelling & Control, Hangzhou, Ch

来源：

IEEE Transactions on Systems, Man and Cybernetics | 1987年 / SMC-17卷 / 04期

关键词：

MATHEMATICAL TECHNIQUES - Fuzzy Sets;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Algorithms of fuzzy model identification and self-learning for multi-input/multioutput dynamic systems are proposed. The required computer capacity and time for implementing the proposed algorithms and related resulting models are significantly reduced by introducing the concept of 'referential fuzzy sets. ' Two numerical examples are given to show that the proposed algorithms can provide the fuzzy models with satisfactory accuracy.

引用

页码：683 / 689

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