ADAPTIVE NEURAL NETWORK FOR FEEDBACK ACTIVE NOISE CONTROL SYSTEM

  • Huỳnh Anh Tuấn
  • Nguyễn Hữu Khương
  • Nguyễn Ngọc Long

Abstract

This paper presents a neural-based filtered-X least-mean-square algorithm (NFXLMS) active noise control (ANC) system. The saturation of the power amplifier in ANC system is considered. A method for compensating the saturation is proposed. On line dynamic learning algorithms 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.

 

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Published
2010-04-14
Issue
Vol. 12 No. 12 (2009)
Section
ARTILES
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