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
收藏
页码：182 / 184
页数：3
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