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Based on three vibrating acceleration signals, using BP neutral network, the noise signal at the driver's right ear is predicted as reference signal. Applying the adaptive filter, a single channel, feed-forward, self-adaptive controller, as well as an online secondary path model is established and simulated in MATLAB/Simulink. Both the primary signal and the residual signal are exported to the workspace...
In this paper, a novel active noise control (ANC) scheme based on neural networks is presented for nonlinear ANC systems without the identification of secondary path by introducing virtual primary noises. The ANC system is analyzed in the form of discrete-time state equations. The proposed controller employs neural networks to attenuate the noises. The proposed scheme does not require the dynamical...
This paper proposes a new narrowband active noise control (ANC) system where an ANFIS (adaptive network-based fuzzy inference system) is utilized as an adaptive controller. The ANFIS is a combination of a neural network and a fuzzy inference system. For the purpose of computational cost reduction, the nonlinear premise parameters in the ANFIS are fixed and only its linear consequent parameters are...
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