| 引用本文: | 徐湘元,毛宗源.时滞系统的神经网络预测控制(英文)[J].控制理论与应用,2001,18(6):932~934.[点击复制] |
| XU Xiang-yuan,MAO Zong-yuan.The Neura Network Predictive Control of Time-Delay Systems[J].Control Theory and Technology,2001,18(6):932~934.[点击复制] |
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| 时滞系统的神经网络预测控制(英文) |
| The Neura Network Predictive Control of Time-Delay Systems |
| 摘要点击 2108 全文点击 1077 投稿时间：2000-05-17 修订日期：2001-01-04 |
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| DOI编号 10.7641/j.issn.1000-8152.2001.6.026 |
| 2001,18(6):932-934 |
| 中文关键词 时滞系统 多步预测与补偿 增加的步数p 稳定性 |
| 英文关键词 time delay systems multi step prediction and compensation increased step number p stability |
| 基金项目 |
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| 中文摘要 |
| 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. |
| 英文摘要 |
| 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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