Development of a Neuro=Adaptive Active Noise Control System
Tokhi, M.O. and Wood, R.
(1997)
Development of a Neuro=Adaptive Active Noise Control System.
Research Report.
ACSE Research Report 679
.
Department of Automatic Control and Systems Engineering
Abstract
This paper presents the development of a neuro-adaptive active noise control (ANC) system. Radial basis function neural networks with an orthogonal forward regression algorithm are considered in both the modelling and control contexts. A feedforward ANC structure is considered for optimum cancellation of broadband noise in a three dimensional propagation medium. An on-line adaptation and training mechanism allowing a neural-network architecture to characterise the optimal controller within the ANC system is developed. The neuro-adaptive ANC algorithm thus developed is implemented within a free-field environment and simulation results verifying its performance are presented and discussed.
Metadata
Item Type:
Monograph
Authors/Creators:
Tokhi, M.O.
Wood, R.
Copyright, Publisher and Additional Information:
The Department of Automatic Control and Systems Engineering research reports offer a forum for the research output of the academic staff and research students of the Department at the University of Sheffield. Papers are reviewed for quality and presentation by a departmental editor. However, the contents and opinions expressed remain the responsibility of the authors. Some papers in the series may have been subsequently published elsewhere and you are advised to cite the later published version in these instances.
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