| 基于神经网络的超精密机床伺服进给非线性模型辨识 |
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| 引用本文： | 解旭辉,李圣怡,C. Jimes Li.基于神经网络的超精密机床伺服进给非线性模型辨识[J].国防科技大学学报,1997,19(3):75-79. |
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| 作者姓名： | 解旭辉 李圣怡 C. Jimes Li |
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| 作者单位： | 国防科技大学机械电子工程与仪器系 |
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| 摘 要： | 以双轴Ｔ型结构的超精密金刚石车床的伺服进给系统为研究对象，采用自构造神经网络技术，建立了系统的非线性动态数学模型，为系统非线性控制与补偿提供参考模型
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| 关 键 词： | 神经网络，自构造学习算法，伺服进给系统，超精密机床 |
| 收稿时间： | 1996/10/4 0:00:00 |
Non-linear Model Identification By Neural Network for Servo-feed System of the Ultra-precision Machine Tools |
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| Xie Xuhui,Li shengyi and C. JimesLi.Non-linear Model Identification By Neural Network for Servo-feed System of the Ultra-precision Machine Tools[J].Journal of National University of Defense Technology,1997,19(3):75-79. |
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| Authors: | Xie Xuhui Li shengyi and C JimesLi |
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| Institution: | 1.Department of Mechantronics Engineering and Instrumentation, DUDT, Changsha, 410073;1.Department of Mechantronics Engineering and Instrumentation, DUDT, Changsha, 410073;2.Dept ME. AE&M, Renselaer Institute of Technology, Troy City N.Y.,USA |
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| Abstract: | |
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| Keywords: | neural-network structual & weight learning algorithm servo-feed system ultra-precision machine tools |
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