A rule-based scalar tuning fuzzy control system

被引：0

作者：

Feng, HM ^{[1
]}

Kao, WH

机构：

[1] Yung Ta Inst Technol & Commerce, Dept Management Informat Syst, Pingtung, Taiwan

[2] Tamkang Univ, Dept Comp Sci & Informat Engn, Tamsui, Taipei Hsien, Taiwan

来源：

COMPUTING AND INFORMATICS | 2001年 / 20卷 / 04期

关键词：

fuzzy inference; scaling factor; reinforcement learning; supervised learning; rule-based system;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A rule-based scalar tuning fuzzy control system is proposed in-this paper. A fuzzy controller with three scalar factors is considered to directly control the plant, and a scalar tuning mechanism through a fuzzy inference method is used to dynamically generate appropriate scalar factors for the fuzzy controller at each sampling time. A state evaluator is used to estimate a critic score to indicate the current state of the system, and to provide this score to a parameter modifier to create a modifiable value. A scalar making mechanism is proposed such that the rule-based fuzzy control system has the powerful ability to automatically select the consequent parameters in the scalar tuning mechanism such that the controlled system has a better performance. Finally, the inverted pendulum control problem is used to illustrate the effectiveness of the rule-based tuning control scheme.

引用

页码：395 / 409

页数：15

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