Self-tuning controller with fuzzy filtered-X algorithm

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 n...

Full description

Saved in:
Bibliographic Details
Published inElectronics letters Vol. 36; no. 2; p. 1
Main Authors Shyu, Kuo-Kai, Chang, Cheng-Yuan, Kuo, Ming-Chu
Format Journal Article
LanguageEnglish
Published Stevenage John Wiley & Sons, Inc 20.01.2000
Subjects
Active noise control
Algorithms
Fuzzy
Fuzzy logic
Fuzzy set theory
Human
Learning
Noise
Online AccessGet full text
ISSN0013-5194
1350-911X

Cover

More Information
Summary: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.
Bibliography:SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ObjectType-Article-1
ObjectType-Feature-2
content type line 23
ISSN:0013-5194
1350-911X