摘要
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.
出处
《西安工业学院学报》
CAS
1997年第2期128-133,共6页
Journal of Xi'an Institute of Technology