| 非线性倒立摆系统的神经网络辨识 |
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| 引用本文： | 任祖华,王永骥. 非线性倒立摆系统的神经网络辨识[J]. 计算技术与自动化, 2004, 23(4): 20-22 |
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| 作者姓名： | 任祖华 王永骥 |
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| 作者单位： | 华中科技大学控制科学与工程系,湖北,武汉,430074;华中科技大学控制科学与工程系,湖北,武汉,430074 |
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| 摘 要： | 基于四种非线性系统模型,对典型的不稳定、非线性、强耦合的倒立摆系统建立了神经网络辨识结构,并对辨识结果进行了简单的比较,讨论了隐含元个数的选择对模型辨识精度的影响。结果表明神经网络对于非线性倒立摆系统的辨识是有效的。
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| 关 键 词： | 倒立摆 非线性系统模型 神经网络辨识 |
| 文章编号： | 1003-6199(2004)04-0020-03 |
| 修稿时间： | 2004-08-30 |
Neural Network for Non- linear Inverted Pendulum System Identification |
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| REN Zu-hua,WANG Yong-ji. Neural Network for Non- linear Inverted Pendulum System Identification[J]. Computing Technology and Automation, 2004, 23(4): 20-22 |
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| Authors: | REN Zu-hua WANG Yong-ji |
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| Abstract: | Based on the four non-linear system models, the neural network structure identification of a typical unstable, non-linear and strong coupling inverted pendulum system is established. Simple comparing of the identified results, and discussing the great influence of different choice of hidden unit numbers on the model identification accuracy prove that it is effective for neural network to identify the non-linear inverted pendulum system. |
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| Keywords: | inverted pendulum non-linear system model neural network identification |
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