摘要
基于BP神经网络能以任意精度逼近任何非线性连续函数的原理。通过在MATLAB环境下,对典型的不稳定、非线性、强耦合的倒立摆系统建立了BP神经网络辨识结构,并对辨识结果进行了分析。结果表明BP神经网络对非线性倒立摆模型的辨识是有效的。
Base on the theory that the BP neural network can compel any non-linear function by any precision. Under the circumstance of MATLAB, the neural network structure identification of a typical unstable, non-linear and strong coupling inverted pendulum system is established.Analyze of the result of identification prove that it is effective for neural network to identify the non-linear inverted pendulum system.
出处
《微计算机信息》
北大核心
2006年第12S期243-244,285,共3页
Control & Automation
关键词
BP神经网络
倒立摆
系统辨识
BP Neural Network,lnverted Pendulum,System Identification
