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A Survey on Fractional-Order Iterative Learning Control

Author

Listed:
  • Yan Li

    (Shandong University)

  • YangQuan Chen

    (University of California)

  • Hyo-Sung Ahn

    (Gwangju Institute of Science and Technology (GIST))

  • Guohui Tian

    (Shandong University)

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.

Suggested Citation

  • Yan Li & YangQuan Chen & Hyo-Sung Ahn & Guohui Tian, 2013. "A Survey on Fractional-Order Iterative Learning Control," Journal of Optimization Theory and Applications, Springer, vol. 156(1), pages 127-140, January.
    • Handle: RePEc:spr:joptap:v:156:y:2013:i:1:d:10.1007_s10957-012-0229-9
    DOI: 10.1007/s10957-012-0229-9
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    Citations

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    Cited by:

    1. Liu, Shengda & Wang, JinRong & Shen, Dong & O’Regan, Donal, 2019. "Iterative learning control for differential inclusions of parabolic type with noninstantaneous impulses," Applied Mathematics and Computation, Elsevier, vol. 350(C), pages 48-59.
    2. Yiheng Wei & Bin Du & Songsong Cheng & Yong Wang, 2017. "Fractional Order Systems Time-Optimal Control and Its Application," Journal of Optimization Theory and Applications, Springer, vol. 174(1), pages 122-138, July.
    3. Chen, Qian & Debbouche, Amar & Luo, Zijian & Wang, JinRong, 2017. "Impulsive fractional differential equations with Riemann–Liouville derivative and iterative learning control," Chaos, Solitons & Fractals, Elsevier, vol. 102(C), pages 111-118.

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