一种窄带有源噪声控制系统的自适应神经控制器

Minh-Canh Huynh, Cheng-Yuan Chang
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引用次数: 0

摘要

本文提出了一种新的自适应神经网络控制器,该控制器可以有效地应用于线性和非线性窄带有源噪声控制系统。该方法的优点是结构简单,只有三层网络,其自适应系数可以在线更新。本文对该方法进行了算法分析。通过与传统方法的比较,通过计算机仿真验证了改进后的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A novel adaptive neural controller for narrowband active noise control systems
This paper proposes a novel adaptive neural network controller which can operate effectively in both linear and nonlinear narrowband active noise control systems. The advantage of the proposed method is a simple structure with three network layers, which its adaptive coefficients are updated online. Algorithm analysis of the proposed method is presented in this paper. The improved performance is verified by computer simulations through comparison with the traditional method.
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