| 引用本文： |
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崔岫峰,许晓东.基于BP神经网络特定学习的单级倒立摆控制方法[J].广西科学院学报,2009,25(2):95-97. [点击复制]
- CUI Xiu-feng,XU Xiao-dong.Inverted Pendulum Controlling Based on Specialized Learning Algorithm of BP Neural Network[J].Journal of Guangxi Academy of Sciences,2009,25(2):95-97. [点击复制]
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| 摘要: |
| 利用BP神经网络的特定学习算法,以单级倒立摆为控制对象设计一个四输入/单输出、包含5个隐层单元的3层BP神经网络控制器,提出一种新的单级倒立摆控制方法,然后通过Matlab 6.5数值计算软件对这种新的单级倒立摆控制方法进行仿真.仿真结果表明,该方法具有较好的收敛性,是一种有效的控制方法. |
| 关键词: 倒立摆 BP神经网络 特定学习 |
| DOI： |
| 投稿时间：2009-02-27 |
| 基金项目: |
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| Inverted Pendulum Controlling Based on Specialized Learning Algorithm of BP Neural Network |
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CUI Xiu-feng1, XU Xiao-dong2
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| (1.Network Information Center, Qiqihar University, Qiqihar, Heilongjiang, 161006, China;2.Guangxi Academy of Sciences, Nanning, Guangxi, 530007, China) |
| Abstract: |
| Using specialized learning algorithm of BP neural network,a BP neural network controller composed of three layers with four input, five hidden units and one output, is designed to control the inverted pendulum. A method for controlling the inverted pendulum is introduced, which is simulated with Matlab 6.5 calculating software. The simulation results shows that this control scheme is convergent and effective. |
| Key words: inverted-pendulum BP neural network specialized learning |
