迭代学习控制理论的发展动态

张丽萍; 杨富文

迭代学习控制理论的发展动态

张丽萍¹,
杨富文²

1.
福州大学机械工程系,福州,350002
2.
福州大学电气工程系,福州,350002

基金项目: 国家自然科学基金（69974010）；教育部《高等学校骨干教师资助计划》资助；福建省自然科学基金资助项目

详细信息

作者简介:
张丽萍（1972- ），女，在读博士生．研究领域为迭代学习控制、H_∞控制等．
杨富文（1963- ），男，教授，博士生导师．研究领域为H_∞控制与滤波、迭代学习控制以及自动化工程应用研究等．

中图分类号: TP13
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出版历程
- 收稿日期: 2001-10-23
- 发布日期: 2002-10-19

DEVELOPMENT OF ITERATIVE LEARNING CONTROL

ZHANG Li-ping¹,
YANG Fu-wen²

1.
Department of Mechanical Engineering, Fuzhou University, Fuzhou 350002
2.
Department of Electrical Engineering, Fuzhou University, Fuzhou 350002

摘要

摘要: 迭代学习控制（ILC）适合于具有某种重复运动（运行）性质的被控对象，可实现有限时间区间上的完全跟踪任务．本文综述了迭代学习控制的基本内容和最新发展动态，对迭代学习控制的基本理论进行了分类研究，并讨论其存在的问题和发展趋势．
- 迭代学习控制 /
- 跟踪误差 /
- 收敛性 /
- 综述
Abstract: Iterative learning control is an approach to this problem for systems or processes that operate repetitively over a fixed time interval. It can develop controllers that learn to produce zero tracking error during repetition of a command. In this paper, the basic contents and recent development of iterative learning control are surveyed. We discuss respectively the basic theory of iterative learning control, and put forward some issues needed to be studied.
- iterative learning control /
- tracking error /
- convergence /
- survey

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参考文献(41)

[1]	Uchiyama M. Formulation of high-speed motion of a mechanical arm b y trial. Trans. Society of Instrumentation and Control Engineers(in Japanese), 1978,14(6):706～712
[2]	Arimoto S, Kawamura S, Miyazaki F. Bettering operation of robotics by learni ng. J. Robotic System, 1984,1(2):123～140
[3]	Kuc T, Nam K, Lee J. An iterative learning control of robot manipulators. I EEE Journal of Robotics and Automation, 1991, 7(6):835～841
[4]	Oh S, Bien Z, Suh H. A model algorithmic learning method for continuous-path control of a robot manipulator. Robotica, 1990, 8(1):31～36
[5]	Kim B K, Chung W K, Youm Y. Robust learning control for robot manipulators b ased on disturbance observer. In: Proc. of the 1996 IEEE IECON 22nd Int. Conf. o n Industrial, Electronics, Control and Instrumentation, 1996: 1276～1282
[6]	Jeon D, Tomizuka M. Learning hybrid force and position control of robot mani pulators. IEEE Journal of Robotics and Automation, 1993, 9(4): 423～4 31
[7]	Lee J H, Lee K S, Kim W C.Model-based iterative learning control with a qu adratic criterion for time-varying linear systems. Automatica, 2000, 36:641～657
[8]	Arimoto S, Kawamura S, Miyazaki F. Convergence, Stability and Robustness of Learning Control Schemes for Robot Manipulations- Recent Trends in Robotics: M odeling, Control and Education. London: Elsevier Publishers, 1986: 307～316
[9]	Bien Z, Huh K. Higher-order iterative learning control algorithm. IEE Proc. Control Theory and Applications,1989, 32(3):105～112
[10]	Bondi P, Casalino G, Gambardella L. On the iterative learning control theory for robotic manipulators. IEEE Journal of Robotics and Automation, 1988, 4(1):14～22
[11]	Moon J, Doh T, Chung M. A robust iterative learning control design for unce rtain systems. Automatica, 1998, 34(8):1001～1004
[12]	Kuc T, Lee J, Nam K. An iterative learning control theory for a class of no nlinear dynamic systems. Automatica, 1992, 28(6):1215～1221
[13]	Heinzinger G, Fenwick D, Paden B.Robust learning control.In:Proc.of 28th IEEE conf.on Decision and Control,Tamps,Florida, 1989:436～440
[14]	Togai M, Yamano O. Analysis and design of an optimal learning control scheme for indu-strial robots: a discrete system approach. In: Proc. of 24th IEEE co nf. on Decision and Control, Ft. Lauderdale FL. 1985: 1399～1404
[15]	Tao K M, Kosut R L, Aral G. Learning feedforward control. In: Proc. of the 1994 ACC, Baltimore, Maryland, June,1994: 2575～2579
[16]	Amann N, Owens D H, Rogers E.Iterative learning control using optimal feedb ack and feedforward actions. Int.J.Control, 1996,65(2):277～293
[17]	Cheah C C,Wang D.A model reference learning control scheme for a class of no nlinear systems. Int. J. Control,1997,66(2):271～287
[18]	Atkeson G. Robot trajectory learning through practice. In :Proc. of 1986 IE EE Int. Conf. on Robotics and Automation, San Francisco, CA,1986: 1737～1742
[19]	Hauser J E. Learning control for a class of nonlinear systems.In:Proc.of 2 6rd IEEE conf.on Decision and Control, Los Angeles, CA,1987:859～860
[20]	Arimoto S. Robustness of learning control for robot manipulators. In:Proc. of the IEEE Int. Conf. on Robot and Automation, Cincinnati, Ohio,1990:1528～1533
[21]	任雪梅,高为炳. 任意初始状态下的学习控制.自动化学报,1994,20(1):74～79
[22]	Sugie T,Ono T. An iterative learning control law for dynamical systems. Auto matica, 1991, 27(4):729～732
[23]	Ahn H, Coh C, Kim K. Iterative learning control for a class of nonlinear sys tem. Automatica, 1993, 29(6):1575～1578
[24]	魏燕定,高为炳.任意初始状态下的学习控制.tfwxip rb,1994,20(1): 74～79
[25]	Chien C, Liu J. A P-type iterative learning controller for robust output tr acking of nonlinear time-varying systems. Int. J. Control, 1996,64 (2):319～334
[26]	许顺孝,杨富文. 不确定线性系统迭代学习控制器的设计. 控制理论与应用,2002,19(4):
[27]	许顺孝,杨富文. 不确定线性时滞系统迭代学习控制器的设计. 集美大学学报,2001,6(4):5-10
[28]	Lee H S, Bien Z. A note on convergence property of iterative learning contro ller with respect to sup norm. Automatica, 1997,33(8):525～528
[29]	Sun M, Wang D. Sampled-data iterative learning control for nonlinear system with arbitrary relative degree. Automatica, 2001, 37(2):283～289
[30]	Oh S, Bien Z, Suh H. An iterative learning control method with application o n robot manipulator. IEEE Journal of Robotics and Automation,1988,4( 5):508～514
[31]	林辉. 非线性系统闭环P型迭代学习控制的收敛性. 控制理论与应用,1995, 12(6):742～746
[32]	Geng Z, Carroll R, Xie J. Two-dimensional model and algorithm analysis for a class of iterative learning control systems. Int. J. Control,1990,52(4):833～862
[33]	Park B, Kuc T, Lee J. Adaptive learning control of uncertain robotic systems. Int. J. Control, 1996, 65(5):725～744
[34]	Xu J, Vigwanathna B. Adaptive robust learning control with dead zone scheme. Automatica, 2000,36(1):91～99
[35]	Fukuda M, Shin S. Model reference learning control with a Wavelet network. In:Bien Z and Xu J X eds.Iterative learning control--analysis, design, integra tion and application, London:Kluwer Academic Publishers,1998: 211～226
[36]	Choi J, Park H J. Use of networks in iterative learning control systems. Int. J. Systems Science, 2000,31(10):1227～1239
[37]	Xu J, Vigwanathna B, Qu Z. Robust iterative learning control for a class of nonlinear systems. Automatica, 1998,34(8):983～988
[38]	Goh C J,Yan W Y.An H_∞ synthesis of robust current feedback learning contro l. ASME J. Dynamic Systems, Measurement, and Control, 1996, 118(2): 341～346
[39]	Saab S, Voglt G, Mickle M H. Learning control algorithms for track ing "sl owly" varying trajectories. IEEE Trans. on Systems, Man and Cybernetics-part B: Cybernetics, 1997, 27(4):657～669
[40]	Xu J. Direct learning of control efforts for trajectories with different mag nitude scales. Automatica, 1997, 33(12):2191～2195
[41]	Dou H, Zhou Z, Sun M. Robust high-order P-type iterative learning control for a class of uncertain nonlinear systems. In: Proc. of 1996 IEEE Int.Conf. o n Systems,Man and Cybernetics, Beijing: 923～928

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文章访问数: 1510
HTML全文浏览量: 5
PDF下载量: 54
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迭代学习控制理论的发展动态

作者简介: 张丽萍（1972- ），女，在读博士生．研究领域为迭代学习控制、H∞控制等．杨富文（1963- ），男，教授，博士生导师．研究领域为H∞控制与滤波、迭代学习控制以及自动化工程应用研究等．

计量

出版历程

DEVELOPMENT OF ITERATIVE LEARNING CONTROL

计量

出版历程

目录

作者简介:
张丽萍（1972- ），女，在读博士生．研究领域为迭代学习控制、H_∞控制等．
杨富文（1963- ），男，教授，博士生导师．研究领域为H_∞控制与滤波、迭代学习控制以及自动化工程应用研究等．