| 时滞系统的神经网络预测控制 |
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| 引用本文： | 徐湘元,毛宗源. 时滞系统的神经网络预测控制[J]. 控制理论与应用, 2001, 18(6): 932-934 |
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| 作者姓名： | 徐湘元 毛宗源 |
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| 作者单位： | 1. 广东工业大学电气工程系,
2. 华南理工大学自动控制工程系, |
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| 摘 要： | 针对时滞系统的特点和采用神经网络单值预测控制存在的不足，提出了多步超前预测与补偿的控制算法，有效地增加了控制力度，改善了动态性能，并论述了增加的预测与补偿步数与稳定的关系。
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| 关 键 词： | 时滞系统 稳定性 神经网络 预测控制 |
| 文章编号： | 1000-8152(2001)06-0932-04 |
| 收稿时间： | 2000-05-17 |
| 修稿时间： | 2000-05-17 |
The Neura Network Predictive Control of Time-Delay Systems |
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| XU Xiang-yuan and MAO Zong-yuan. The Neura Network Predictive Control of Time-Delay Systems[J]. Control Theory & Applications, 2001, 18(6): 932-934 |
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| Authors: | XU Xiang-yuan and MAO Zong-yuan |
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| Affiliation: | Department of Electrical Engineering, Guangdong University of Technology, Guangzhou,510090,P.R.China;Department of Automatic Control Engineering, South China University of Technology, Guangzhou, 510641,P.R.China |
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| Abstract: | With regards to the characteristics of time delay system and the weakness of single predictive control, this paper puts forward a control scheme of multi step ahead prediction and compensation, which increases control power effectively, and improves dynamic characteristics of the system. The paper also discusses the relationship between the step number of prediction and compensation and the stability of systems. |
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| Keywords: | time delay systems multi step prediction and compensation increased step number p stability |
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