【摘要】 讨论了有源噪声控制（ANC）问题，提出了一种基于人工神经网络的非线性噪声有源自适应控制方法，给出了一种基于误差梯度下降的学习算法，证明了闭环控制系统在Lyapunov意义下的稳定性。更多还原

【Abstract】 The active noise control(ANC) is studied. If the primary noise path were nonlinear,the control system based on adaptive filter technology would be invalid. An adaptive active nonlinear noise control approach using a neural network is derived. A learning algorithm based on the error gradient descent method is proposed. The stability of closed loop system is proved in the Lyapunov’s sense. A nonlinear simulation example is given to show that the adaptive active noise control method based on a neural network is very efficient to the noninear noise control.更多还原