Filtered-s Lyapunov algorithm for active control of nonlinear noise processes

被引：2

作者：

Zhao, Haiquan ^{[1
]}

Zhang, Jiashu ^{[1
]}

机构：

[1] SW Jiaotong Univ, Key Lab Signal & Informat Proc Sichan Prov, Chengdu 610031, Peoples R China

来源：

ICSP: 2008 9TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, VOLS 1-5, PROCEEDINGS | 2008年

关键词：

D O I：

10.1109/ICOSP.2008.4697133

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents a filtered-s Lyapunov algorithm for nonlinear active noise control (NANC) using the filter blank implementation based on functional link artificial neural network (FLANN) filter. First, a Lyapunov function of the tracking error is defined, and adaptive FLANN filter coefficients are then adaptive adjusted based Lyapunov stability theory so that the error converges to zero asymptotically. Analysis of theory and simulation results both show that it has fast error convergence and lower stable state error properties. Moreover, its stability is guaranteed by Lyapunov stability theory.

引用

页码：311 / 314

页数：4

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