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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。
The problem of active noise control (ANC) is discussed. A nonlinear active noise adaptive control method based on artificial neural network is proposed. A learning algorithm based on error gradient descent is given. It is proved that the closed-loop control system has better performance in Lyapunov In the sense of stability.