Active noise feedback control using a neural network

The active noise control (ANC) is discussed. Many digital ANC systems often based on the filter-x algorithm for finite impulse response (FIR) filter u se adaptive filtering techniques. But if the primary noise path is nonlinea r, the control system based on adaptive filter technology will he invalid. in this paper. an adaptive active nonlinear noise feedback control approach using a neural network is derived. The feedback control system drives a se condary signal to destructively interfere with the original noise to cut do wn the noise power. An on-line learning algorithm based on the error gradie nt descent method was proposed, and the local stability of closed loop syst em is proved using the discrete Lyapunov function. A nonlinear simulation e xample shows that the adaptive active noise feedback control method based o n a neural network is very effective to the nonlinear noise control.