A fuzzy neural network feedback active noise controller

This paper presents a fuzzy neural-based filtered-X least-mean-square (LMS) algorithm for active noise control (ANC) system. The saturation of the power amplifier in ANC system is considered. A method for compensating the saturation is proposed. An on line dynamic learning algorithm based on the error gradient descent method is carried out. The convergence of the algorithm is proven using a discrete Lyapunov function. Simulation results are provided for illustration.