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旋转倒立摆的神经网络控制 被引量:1

A Neural Network Control for Arm-driven Inverted Pendulum
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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
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参考文献3

  • 1[1]Hou Xiang-Lin,Zhang Chun-Hui,Xu Xin-He.The conjugate gradient optimum algorithm of multi-layers neural network and its application in pattern recognition[J].Journal of Northeastern University,2002,23 (1):20 ~ 23.
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共引文献8

同被引文献2

  • 1丛爽.面向MATLAB工具箱的神经网络理论与应用.北京:中国科学技术大学出版社,2003.
  • 2兰雪梅,朱健,黄承明,董德存.BP网络的MATLAB实现[J].微型电脑应用,2003,19(1):6-8. 被引量:41

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