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Publisher: Department of Automatic Control and Systems Engineering
Languages: English
Types: Book
Subjects:

Classified by OpenAIRE into

arxiv: Quantitative Biology::Neurons and Cognition
ACM Ref: ComputingMethodologies_PATTERNRECOGNITION
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.
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