| 基于RBFNN的伺服系统在线辨识方法 |
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| 引用本文： | 王欣峰,高伟. 基于RBFNN的伺服系统在线辨识方法[J]. 微计算机信息, 2005, 0(21) |
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| 作者姓名： | 王欣峰 高伟 |
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| 作者单位： | 陕西西安中科院西安光学精密机械研究所 710068(王欣峰)，北京中科院研究生院 100048(高伟) |
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| 摘 要： | 由于伺服系统中存在的非线性和不确定性,难以用传统的方法进行建模,本文采用神经网络通过函数逼近完成非线性系统的在线辨识。结合文中提出的径向基网络,通过对某转台伺服系统的仿真,验证了本文提出方法的可行性和有效性。
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| 关 键 词： | RBF神经网络 函数逼近 在线辨识 伺服系统 |
Servo system identification design online based on RBFNN |
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| Wang,Xi nfeng Gao,Wei. Servo system identification design online based on RBFNN[J]. Control & Automation, 2005, 0(21) |
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| Authors: | Wang Xi nfeng Gao Wei |
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| Abstract: | Because of the nonlinearity and uncertainty in servo system, it is dif ficult to model the system in traditional means. The paper describes a modeling research on neural networks ,which aims at identifying online through function a pproaching .Combining the radial basis function neural networks offered in this paper, a simulation of turntable servo system is carried on and proved to be fea sible and effective. |
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| Keywords: | RBF neural networks function approaching identification online servo system |
| 本文献已被 CNKI 等数据库收录！ |
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