引用本文: | 阮小娥,朴光贤,卞增男.迭代学习控制技术回顾与长期学习控制展望[J].控制理论与应用,2012,29(8):966~973.[点击复制] |
RUAN Xiao-e,PARK Kwang-hyun,BIEN Z Zenn.Retrospective review of some iterative learning control techniques with a comment on prospective long-term learning[J].Control Theory and Technology,2012,29(8):966~973.[点击复制] |
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迭代学习控制技术回顾与长期学习控制展望 |
Retrospective review of some iterative learning control techniques with a comment on prospective long-term learning |
摘要点击 2942 全文点击 1826 投稿时间:2012-08-11 修订日期:2012-08-28 |
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DOI编号 10.7641/j.issn.1000-8152.2012.8.LCTA120866 |
2012,29(8):966-973 |
中文关键词 iterative learning control convergence analysis initial state shift higher-order learning law large-scale systems long-term learning control |
英文关键词 迭代学习控制 收敛性分析 初始状态漂移 高阶学习律 大系统 长期学习控制 |
基金项目 This work was supported by the National Natural Science Foundation of China (No. F030114-60974140), and the Funding of Intelligent Robot Research Center, Soongsil University, Korea. |
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中文摘要 |
本文首先回顾了迭代学习控制中初始状态漂移问题和单调收敛性分析的研究技术. 其次, 综述了高阶迭代学习控制机制及其收敛速度比较和有效性. 再次, 评述了重复运行大系统和变幅值大工业过程的迭代学习控制机理. 最后, 展望了长期学习控制的研究趋势等. |
英文摘要 |
This paper firstly makes a retrospective review of some iterative learning control techniques and results regarding to the initial state shift issue and the monotone convergence analysis. Secondly, the paper presents a review of the higher-order iterative learning control scheme including its convergence speed comparison and effectiveness. Then, the paper exhibits a review of iterative learning control mechanism for large-scale systems including repetitive systems and magnitude-varying industrial processes. Lastly, the paper gives a comment on prospective long-term learning control for the future. |