A Survey on Fractional-Order Iterative Learning Control

被引:63
作者
Li, Yan [1 ]
Chen, YangQuan [2 ]
Ahn, Hyo-Sung [3 ]
Tian, Guohui [1 ]
机构
[1] Shandong Univ, Sch Control Sci & Engn, Jinan 250061, Shandong, Peoples R China
[2] Univ Calif, Sch Engn, Merced, CA 95343 USA
[3] Gwangju Inst Sci & Technol, Dept Mechatron, Kwangju, South Korea
基金
中国国家自然科学基金;
关键词
Iterative learning control; Fractional calculus; Convergence speed; Transient and steady-state performances; Digital and analog implementations; SYSTEMS;
D O I
10.1007/s10957-012-0229-9
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
In this paper, an overview of fractional-order iterative learning control (FOILC) is presented including main developments of this field since 2001. Many theoretical and experimental results are provided to show the advantages of FOILC such as the improvement of transient and steady-state performances. Some unique characters of fractional-order operators are illustrated to show the new features and techniques of FOILC. A number of unsolved problems are briefly presented.
引用
收藏
页码:127 / 140
页数:14
相关论文
共 61 条
[1]  
Ahn HS, 2007, COMMUN CONTROL ENG, P1, DOI 10.1007/978-1-84628-859-3
[2]   Iterative learning control: Brief survey and categorization [J].
Ahn, Hyo-Sung ;
Chen, YangQuan ;
Moore, Kevin L. .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS, 2007, 37 (06) :1099-1121
[3]  
[Anonymous], 2006, THEORY APPL FRACTION
[4]  
[Anonymous], 1999, FRACTIONAL DIFFERENT
[5]   Incorporation of experience in iterative learning controllers using locally weighted learning [J].
Arif, M ;
Ishihara, T ;
Inooka, H .
AUTOMATICA, 2001, 37 (06) :881-888
[6]   BETTERING OPERATION OF ROBOTS BY LEARNING [J].
ARIMOTO, S ;
KAWAMURA, S ;
MIYAZAKI, F .
JOURNAL OF ROBOTIC SYSTEMS, 1984, 1 (02) :123-140
[7]   HIGHER-ORDER ITERATIVE LEARNING CONTROL ALGORITHM [J].
BIEN, Z .
IEE PROCEEDINGS-D CONTROL THEORY AND APPLICATIONS, 1989, 136 (03) :105-112
[8]  
Chen Y., 1999, Iterative Learning Control: Convergence, Robustness and Applications
[9]  
Chen Y. Q., 2012, ENCY SCI LEARNING
[10]  
Chen Y. Q., 2006, IFAC P, V39, P481, DOI 10.3182/20060719-3-pt-4902.00081