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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、参数突变具有较强的自适应能力
A new neural network adaptive control method for nonlinear systems is proposed. The improved BP algorithm is adopted to avoid the hassle of choosing the learning rate. The simulation results show that the proposed method has the following advantages Strong adaptive ability