| 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(英文)[J].控制理论与应用,2001,18(3):461~464.[点击复制] |
| NIU Yu-gang,ZOU Yun,YANG Cheng-wu.Neural Network-Based Adaptive Tracking Control for a Class of Nonlinear Systems[J].Control Theory and Technology,2001,18(3):461~464.[点击复制] |
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| 基于神经网络的一类非线性系统自适应跟踪控制(英文) |
| Neural Network-Based Adaptive Tracking Control for a Class of Nonlinear Systems |
| 摘要点击 1447 全文点击 1191 投稿时间：1999-09-28 修订日期：2000-11-13 |
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| DOI编号 |
| 2001,18(3):461-464 |
| 中文关键词 神经网络 非线性系统 输出跟踪 逼近误差 自适应控制 |
| 英文关键词 neural networks nonlinear systems output tracking approximate error adaptive control |
| 基金项目 |
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| 中文摘要 |
| 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. |
| 英文摘要 |
| 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. |