An active noise controller using type-2 fuzzy neural network
Abstract
This paper presents a feedback active noise control system using type-2 fuzzy neural network. The new features of the proposed system are: firstly we introduce a saturation compensator for the actuator and secondly we use a type 2 fuzzy neural network to estimate the nonlinearity of the secondary path transfer function. Online dynamic back-propagation learning algorithm based on the error gradient descent method is proposed. The condition of convergence of the proposed algorithm is derived using a discrete Lyapunov function. Simulation results show that the proposed method is effective.