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
收藏
页码：395 / 409
页数：15
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