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对于具有不确定因素的非线性系统 ,通过校正神经网络的预报输出 ,应用最优化及网络辩识器模型局部线性化的思想 ,提出一种鲁棒自适应神经网络控制器 ,仿真研究证明该控制器具有较强的抗干扰能力
For the nonlinear system with uncertain factors, a robust adaptive neural network controller is proposed by correcting the forecast output of neural network and applying the optimization and the local linearization of the network identifier model. The simulation results show that the control The device has a strong anti-interference ability