一类非线性振动自适应控制的神经网络方法

针对一类非线性振动系统，本文详细阐述了非线性振动自适应控制的神经网络方法。首先提出一类非线性系统的控制模型与自适应控制策略；然后介绍了神经网络控制器的模型，进而导出了基于神经网络的振动自适应控制算法，数字仿真结果表明了这种方法的有效性。

Adaptive Active Control Methodology for a Class of NonlinearVibration Systems Using Neural Network

Based on Altificial Neural Network theory, adaptive active control methodology is developed for aclass of nonlinear vibration system. Firstly,the control model of a class of nonlinear systems is proposed aswell as the active control strategy. Then,a neural controller is presented,and an adaptive control algorithmis formulated for the neural controller. Simulation result shows that the method presented in this paper isavailable for a class of nonlinear systems.