| 用神经网络进行非线性离散动态系统辨识的可行性 |
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| 引用本文： | 刘延年,冯纯伯.用神经网络进行非线性离散动态系统辨识的可行性[J].控制理论与应用,1994,11(4):413-420. |
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| 作者姓名： | 刘延年 冯纯伯 |
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| 作者单位： | 东南大学自动化所 |
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| 摘 要： | 本文通过证明由神经网络组成的动态系统具有可以逼近满足一定条件的非线性离散动态系统到任意精度的能力，以及讨论将其作为辨识模型对非线了散动态系统进行实时辨识时系统的稳定性，对用神经网络进行非线性离散动态系统辨识的可行性进行了探讨，并提出了有待解决的问题。
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| 关 键 词： | 神经网络 离散动态系统 系统辨识 |
| 收稿时间： | 1992/12/22 0:00:00 |
| 修稿时间： | 1993/8/11 0:00:00 |
The Feasibility of Using Neural Networks for the Identification of Nonlinear Discrete Dynamic Systems |
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| LIU Yannian and FENG Chunbo.The Feasibility of Using Neural Networks for the Identification of Nonlinear Discrete Dynamic Systems[J].Control Theory & Applications,1994,11(4):413-420. |
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| Authors: | LIU Yannian and FENG Chunbo |
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| Affiliation: | Research Institute of Automation Southeast University |
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| Abstract: | In this paper, by proving that dynamic systems constituted by neural networks can approximete a kind of nonlinear discrete dynamic systems with arbitrary accuracy, and analyzing the stability of applying neuralnetworks to the real-time identification of the nonlinear discrete dynamic systems, we discuss th feasibility of us ing neural networks for the identification of nonlinear discrete dynamic systems. We also address the problems remained to be solved. |
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| Keywords: | neural network nonlinear discrete dynamic system Lyapunov function |
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