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Title: Noninvasive model independent noise control with adaptive feedback cancellation
Authors: Yuan, J 
Issue Date: 2008
Source: Advances in acoustics and vibration, v. 2008, 863603, p. 1-7
Abstract: An active noise control (ANC) system is model dependent/independent if its controller transfer function is dependent/independent on initial estimates of path models in a sound field. Since parameters of path models in a sound field will change when boundary conditions of the sound field change, model-independent ANC systems (MIANC) are able to tolerate variations of boundary conditions in sound fields and more reliable than model-dependent counterparts. A possible way to implement MIANC systems is online path modeling. Many such systems require invasive probing signals (persistent excitations) to obtain accurate estimates of path models. In this study, a noninvasive MIANC system is proposed. It uses online path estimates to cancel feedback, recover reference signal, and optimize a stable controller in the minimum H2 norm sense, without any forms of persistent excitations. Theoretical analysis and experimental results are presented to demonstrate the stable control performance of the proposed system.
Publisher: Hindawi Publishing Corporation
Journal: Advances in acoustics and vibration 
ISSN: 1687-6261 (print)
1687-627X (online)
DOI: 10.1155/2008/863603
Rights: Copyright © 2008 Jing Yuan. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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