非线性倒立摆的BP神经网络系统辨识

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。
关键词：BP 神经网络；倒立摆 ；系统辨识

BP Neural Network for Non-linear Inverted Pendulum System Identification YAN xin ，ZHAO ying kai，DOU dong yang (College of Automation,NanJing Univ. of Technology，JiangSu 210009 ,China) Abstract: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.
Key words: BP Neural Network ；Inverted Pendulum；System Identification