Self-tuning controller with fuzzy filtered-X algorithm

Kuo Kai Shyu, Cheng Yuan Chang, Ming Chu Kuo

Research output: Contribution to journalArticlepeer-review

6 Scopus citations


A fuzzy filtered-X algorithm is proposed which has sell-tuning organization 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.

Original languageEnglish
Pages (from-to)182-184
Number of pages3
JournalElectronics Letters
Issue number2
StatePublished - 20 Jan 2000


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