摘要
介绍了基于BP神经网络的仿PID自适应控制器,给出了控制算法,推导了基于变形Elman网络的系统辨识算法. 仿真及应用表明此方法是可行的.
The analogue PID adaptive controller based on BP neural network is introduced. The control algorithm is given, in which the adaptive leaning rate is applied. The algorithm of system identification based on modified Elman network is network is ratiocinated. The simulation and application indicate the feasibility of the method presented.
出处
《上海理工大学学报》
CAS
北大核心
2002年第2期179-181,186,共4页
Journal of University of Shanghai For Science and Technology
关键词
神经网络
系统辨识
PID控制
neural network
system identification
PID control
