| 基于神经网络的一类非线性系统自适应跟踪控制 |
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| 引用本文： | 牛玉刚,邹 云,杨成梧.基于神经网络的一类非线性系统自适应跟踪控制[J].控制理论与应用,2001,18(3):461-464. |
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| 作者姓名： | 牛玉刚 邹 云 杨成梧 |
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| 作者单位： | 南京理工大学动力学院 |
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| 基金项目： | Foundation item:supported by the Foundation of National Defence Early Research of Science & Technology (99J16.6.1 BQ0214) and the National Natural Science Foundation of China (60074007). |
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| 摘 要： | 提出一种非线性系统的自适应神经跟踪控制方案。通过利用RBF神经网络对未知非线性系统建模，并用一个滑模控制项消除网络建模误差和外部干扰的影响，从而能够保证闭环系统的全局稳定性和输出跟踪误差渐近收敛于零。
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| 关 键 词： | 神经网络 非线性系统 输出跟踪 逼近误差 自适应控制 |
| 文章编号： | 1000-8152(2001)03-0461-04 |
| 收稿时间： | 1999/9/28 0:00:00 |
| 修稿时间： | 2000/11/13 0:00:00 |
Neural Network-Based Adaptive Tracking Control for a Class of Nonlinear Systems |
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| NIU Yu-gang,ZOU Yun and YANG Cheng-wu.Neural Network-Based Adaptive Tracking Control for a Class of Nonlinear Systems[J].Control Theory & Applications,2001,18(3):461-464. |
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| Authors: | NIU Yu-gang ZOU Yun and YANG Cheng-wu |
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| Affiliation: | School of Power Engineering,Nanjing University of Science and Technology, Nanjing,210094,P.R.China;School of Power Engineering,Nanjing University of Science and Technology, Nanjing,210094,P.R.China;School of Power Engineering,Nanjing University of Science and Technology, Nanjing,210094,P.R.China |
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| Abstract: | A neural network based adaptive tracking control scheme is proposed for a class of nonlinear systems. Two RBF neural networks are used to approximate the unknown nonlinear system, and a sliding model control term is used to eliminate the effects of the network inherent approximation errors and external disturbance. This control scheme can ensure the global stability of closed loop system and the asymptotical convergence of output tracking error. |
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| Keywords: | neural networks nonlinear systems output tracking approximate error adaptive control |
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