| 时滞系统的神经网络辨识与控制算法 |
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| 引用本文： | 杨林,任雪梅,黄鸿,张兴华. 时滞系统的神经网络辨识与控制算法[J]. 计算技术与自动化, 2006, 25(3): 9-12 |
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| 作者姓名： | 杨林 任雪梅 黄鸿 张兴华 |
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| 作者单位： | 北京理工大学,自动控制系,北京,100081;北京理工大学,自动控制系,北京,100081;北京理工大学,自动控制系,北京,100081;北京理工大学,自动控制系,北京,100081 |
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| 摘 要： | 针对时滞系统、应用神经网络的非线性逼近能力，采用神经网络实现内模控制中被控对象的正模型及内模控制器，用Lyapunov稳定性定理证明神经网络控制系统的稳定性。仿真结果说明神经网络内模控制方案的优越性。
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| 关 键 词： | 时滞系统 内模控制 神经网络 |
| 文章编号： | 1003-6199（2006）03-0009-04 |
| 收稿时间： | 2006-02-11 |
| 修稿时间： | 2006-02-11 |
Identification and Control of Systems with Time Delay Using Neural Networks |
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| YANG Lin,REN Xue-mei,HUANG Hong,ZHANG Xing-hua. Identification and Control of Systems with Time Delay Using Neural Networks[J]. Computing Technology and Automation, 2006, 25(3): 9-12 |
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| Authors: | YANG Lin REN Xue-mei HUANG Hong ZHANG Xing-hua |
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| Affiliation: | Department of Automatic Control, Beijing Institute of Technology, Beijing 100081 ,China |
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| Abstract: | Considering the nonlinear approximation ability of neural networks, this paper presents the identification model and controller based on neural networks for systems with time delay, The neural networks are used to implement the plant model and internal model controller. The stability of the neural network control system is proved by Lyapunov theory. Simulation results demonstrate the advantages of the proposed neural network internal model control scheme. |
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| Keywords: | time delay systems internal model control neural networks |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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