Self-tuning controller with fuzzy filtered-X algorithm

被引：6

作者：

Shyu, KK ^{[1
]}

Chang, CY ^{[1
]}

Kuo, MC ^{[1
]}

机构：

[1] Nat Cent Univ, Dept Elect Engn, Chungli 320, Taiwan

来源：

ELECTRONICS LETTERS | 2000年 / 36卷 / 02期

关键词：

D O I：

10.1049/el:20000189

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A fuzzy filtered-X algorithm is proposed which has self-tuning organisation under active noise control. By imitating human learning processes, the fuzzy control algorithm does not require a plant model to make its control rub. Instead, rules are generated by using the history of the input-output noise pairs. The new approach not only provides better performance than the conventional filtered-X algorithm bur also leads to a reduction in the complexity of the active noise control system.

引用

页码：182 / 184

页数：3

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