DocumentCode
1320909
Title
Self-tuning controller with fuzzy filtered-X algorithm
Author
Shyu, Kuo-Kai ; Chang, Cheng-Yaun ; Kuo, Ming-Chu
Author_Institution
Dept. of Electr. Eng., Nat. Central Univ., Chung-Li, Taiwan
Volume
36
Issue
2
fYear
2000
fDate
1/20/2000 12:00:00 AM
Firstpage
182
Lastpage
184
Abstract
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 rules. 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 but also leads to a reduction in the complexity of the active noise control system
Keywords
active noise control; adaptive control; fuzzy control; self-adjusting systems; active noise control; fuzzy control algorithm; fuzzy filtered-X algorithm; input-output noise pairs; noise pair history; self-tuning controller;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:20000189
Filename
833175
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