摘要
提出利用CMAC神经网络与PID的复合控制,实现非线性系统控制。由于CMAc网络的优点使PID控制效果有很大提高。仿真实验表明了该方法的有效性。
This paper designed a control model, which is constructed based on CMA.C neural network and combined with a PID controller. Owing to the advantages of the CMAC neural network, the effectiveness of the PID control system has been greatly improved. Simulation studies show the effectiveness and good performance.
出处
《微计算机信息》
2004年第4期24-25,共2页
Control & Automation
