神经网络非线性系统自适应控制的研究

Research on an adaptive control of nonlinear systems using neural networks

提出了一种新的神经网络非线性系统自适应控制方法采用改进的ＢＰ算法，避免了选取学习速率的麻烦仿真结果表明：该方法对非线性系统及突加外干拢。

A new approach to neural networks adaptive control of nonlinear systems is proposed.The trouble of selecting the learing rate of neural networks is avoided with the help of improved BP algorithm.The computer simulation results show that the proposed method has an adaptive performance to nonlinear system , unknown disturbance and variable parameters.