A Survey on Fractional-Order Iterative Learning Control

Yan Li (), YangQuan Chen (), Hyo-Sung Ahn () and Guohui Tian ()
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Yan Li: Shandong University
YangQuan Chen: University of California
Hyo-Sung Ahn: Gwangju Institute of Science and Technology (GIST)
Guohui Tian: Shandong University

Journal of Optimization Theory and Applications, 2013, vol. 156, issue 1, No 12, 127-140

Abstract: Abstract 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.

Keywords: Iterative learning control; Fractional calculus; Convergence speed; Transient and steady-state performances; Digital and analog implementations (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (3)

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DOI: 10.1007/s10957-012-0229-9

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