摘要
本文提出一种新的自适应控制方法——基于神经网络的自适应控制，采用神经网络ＢＰ算法作为控制器来控制实际对象，动态地修改神经网络的权值作为自适应方法，使系统较好地适应负荷和外扰的变化，从而获得满意的控制质量。
This paper presents a new adaptive control method based on the adaptive control of a neural network.The BP algorithm is used here as a controller to control an actual system and the dynamic modification of the weighting value of a neural network serves as an adaptive method.Hence the system can adapt itself better to the variations in load and external interference,which has yielded a satisfied control quality.
出处
《工业仪表与自动化装置》
1999年第3期19-21,29,共4页
Industrial Instrumentation & Automation
关键词
神经网络
BP算法
自适应控制
Neural network BP algorithm On line Off line Self learning
