Simulation of Multi-channel Active Noise Control Based on Dynamic Neural Network

被引：0
|
作者：
Wang, Bing [1 ]
Zi, Keming [1 ]
机构：
[1] Huaihai Inst Technol, Sch Mech Engn, Lianyungang, Peoples R China
来源：
ADVANCED MECHANICAL DESIGN, PTS 1-3 | 2012年 / 479-481卷
关键词：
dynamic neural algorithm; multi-channel; AANC;
D O I：
10.4028/www.scientific.net/AMR.479-481.1293
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The stability of the controller based on traditional adaptive active noise control(AANC) adaptive algorithms is not sufficient because of the time-varying parameters and essential nonlinear property of the active noise control system. The results show that the performance of the controller using multi-channel dynamic neural network algorithm which possess favorable silencing effect and stability is superior to the one using AANC.
引用
收藏
页码：1293 / 1296
页数：4
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