Title :
A self-tuning fuzzy filtered-U algorithm with the application of active noise control
Author :
Chang, Cheng-Yuan ; Shyu, Kuo-Kai
Author_Institution :
Dept. of Electron. Eng., Ching Yun Inst. of Technol., Chung-li, Taiwan
Abstract :
The proposed fuzzy method guarantees an active noise control (ANC) system against unstable poles as in the conventional filtered-U design; the performance is hence improved. Besides, the fuzzy algorithm uses the input-output data relationships of the ANC system instead to construct the control rules. The design complexity is consequently reduced
Keywords :
active noise control; adaptive control; control system synthesis; fuzzy control; self-adjusting systems; ANC system; active noise control; control design; control performance; design complexity reduction; input-output data relationships; self-tuning fuzzy filtered-U algorithm; unstable poles; Active noise reduction; Control systems; Convergence; Electronic mail; Fuzzy control; Fuzzy sets; Fuzzy systems; Humans; IIR filters; Noise reduction;
Conference_Titel :
Industrial Electronics Society, 2001. IECON '01. The 27th Annual Conference of the IEEE
Conference_Location :
Denver, CO
Print_ISBN :
0-7803-7108-9
DOI :
10.1109/IECON.2001.976528
