摘要
本文针对一种新型的倒立摆系统,设计了一个四输入单输出三层BP网络,并对一级旋转倒立摆控制器进行逼近。仿真结果表明,BP神经网络有很广阔的应用领域。
In this paper a new arm-driven inverted pendulum is presented, and a 4-input 1-output 3-layer BP neural network is designed to approach the first-level arm-driven inverted pendulum controller. The result of the simulation indicates that BP-NN can be used in many fields.
出处
《北华航天工业学院学报》
CAS
2006年第6期4-6,共3页
Journal of North China Institute of Aerospace Engineering
基金
北华航天工业学院科研基金项目(KY-2003-10)
关键词
神经网络
旋转倒立摆
BP算法
neural network
arm-driven inverted pendulum
BP algorithm