| 迭代学习控制综述 |
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| 引用本文： | 李仁俊,韩正之.迭代学习控制综述[J].控制与决策,2005,20(9):961-966. |
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| 作者姓名： | 李仁俊 韩正之 |
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| 作者单位： | 上海交通大学,自动化系,上海,200030;上海交通大学,自动化系,上海,200030 |
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| 摘 要： | 系统地论述了迭代学习控制的发展和研究现状,包括学习算法及其各种分析方法、与其他控制技术的结合及其应用都作了的总结.重点对迭代学习控制研究的前沿问题:基于频域分析的迭代学习控制、基于2-D理论的迭代学习控制、基于Lyapunov直接法的迭代学习控制、最优化迭代学习控制和采样迭代学习控制进行阐述.最后讨论了目前研究中存在的问题及未来的研究方向.
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| 关 键 词： | 迭代学习控制 压缩映射 2-D理论 Lyapunov直接法 最优控制 |
| 文章编号： | 1001-0920(2005)09-0961-06 |
| 收稿时间： | 2004-07-08 |
| 修稿时间： | 2004-11-15 |
Survey of Iterative Learning Control |
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| LI Ren-jun,HAN Zheng-zhi.Survey of Iterative Learning Control[J].Control and Decision,2005,20(9):961-966. |
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| Authors: | LI Ren-jun HAN Zheng-zhi |
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| Affiliation: | Department of Automation, Shanghai Jiaotong University , Shanghai 200030, China. Correspondent : LI Ren-jun, E-mail: rjlie@hotmail. com |
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| Abstract: | The history and current research of iterative learning control (ILC) are reviewed, including learning algorithms and analysis techniques, connection between ILC and other control paradigms, and applications. Several major advanced problems are presented such as frequency-domain based ILC, 2-D theory based ILC, and Lyapunov direct method based ILC, optimization based ILC, sampled-data ILC. Existing problems and future research directions are also discussed. |
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| Keywords: | Iterative learning control Mapping contraction 2-D theory Lyapunov direct method Optimal control |
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