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 fuz zy control algorithm does not require a plant model to make its control rub . Instead, rules are generated by using the history of the input-output noi se pairs. The new approach not only provides better performance than the co nventional filtered-X algorithm bur also leads to a reduction in the comple xity of the active noise control system.