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迭代学习控制技术回顾与长期学习控制展望

阮小娥 朴光贤 卞增男

控制理论与应用2012,Vol.29Issue(8):966-973,8.
控制理论与应用2012,Vol.29Issue(8):966-973,8.

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

阮小娥 1朴光贤 2卞增男3

作者信息

  • 1. 西安交通大学数学与统计学院,陕西西安710049
  • 2. 光云大学机器人学院,首尔447-1,韩国
  • 3. 蔚山国立科技大学,电子与计算机工程学院,蔚山689-798,韩国
  • 折叠

摘要

Abstract

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.

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

Key words

iterative learning control/convergence analysis/initial state shift/higher-order learning law/large-scale systems/long-term learning control

分类

信息技术与安全科学

引用本文复制引用

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):966-973,8.

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. (No.F030114-60974140)

控制理论与应用

OA北大核心CSCDCSTPCD

1000-8152

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