迭代学习控制技术回顾与长期学习控制展望(英文)  

Retrospective review of some iterative learning control techniques with a comment on prospective long-term learning

作　　者：阮小娥[1] 朴光贤 卞增男 

机构地区：[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,韩国首尔447-1 [3]蔚山国立科技大学,电子与计算机工程学院,韩国蔚山689-798

出　　处：《控制理论与应用》2012年第8期966-973,共8页Control Theory & Applications

基　　金：supported by the National Natural Science Foundation of China(No.F030114-60974140);the Funding of Intelligent Robot Research Center,Soongsil University,Korea

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.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 

分 类 号：TP13[自动化与计算机技术—控制理论与控制工程]