A self-tuning fuzzy filtered-U algorithm with the application of active noise control

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.