摘要
给出了神经网络自适应控制方法,利用神经网络解决无参数,无模型等未知特性的系统控制问题,设计出神经网络自适应控制器,并对倒立摆系统进行仿真,验证理论的有效性和优越性。
This paper researches on self- adaptation control method of neural network. It can solve system control question of non - parameter and non - model using neural network, and designs the self- adaptation controller of neural network, and simulates inverted pendulum system. It can validate the efficiency and superiority of the theory.
出处
《信息技术》
2007年第1期75-77,共3页
Information Technology
关键词
神经网络
BP算法
直接自适应控制
倒立摆
neural network
BP algorithm
self- adaptation control
inverted pendulum
