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

Bing Wang; Ke Ming Zi

doi:10.4028/www.scientific.net/AMR.479-481.1293

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 479-481Simulation of Multi-Channel Active Noise Control...

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

Abstract:

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.

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Periodical:

Advanced Materials Research (Volumes 479-481)

Pages:

1293-1296

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.479-481.1293

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Online since:

February 2012

Authors:

Bing Wang, Ke Ming Zi

Keywords:

AANC, Dynamic Neural Algorithm, Multi-Channel

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