An Adaptive Neuro Fuzzy Network for Nonlinear Active Noise Control Systems

An Adaptive Neuro Fuzzy Network for Nonlinear Active Noise Control Systems

연구 분야: Software Development

학회: 2024 43rd Chinese Control Conference (CCC)

This paper presents an Adaptive Neuro Fuzzy Network (ANFN) for enhancing the performance of nonlinear feedforward active noise control systems. The proposed controller is a combination of the fuzzy logic technique and adaptive neural network. The Filtered-X Least Mean Square (FXLMS) algorithm is used to update the weights of the nonlinear ANFN controller. The convergence of the proposed control system is also proven by using a discrete Lyapunov function, and simulation results are given to demonstrate the effectiveness of the proposed method.