Iterative Learning Control

Iterative Learning Control is a dynamic control strategy that iteratively adjusts the control input to a batch process by leveraging error data from previous cycles to achieve precise tracking performance in repetitive operations.

2K

Publications

97.5K

Citations

2.9K

Authors

803

Institutions

Publications per year

2017–2026

747

Authors

2.9K

  1. JX
    Jian‐Xin Xu

    National University of Singapore, Singapore

    85 publications · 7K citations

    48

    h-index

  2. ZH
    Zhongsheng Hou

    Beijing Jiaotong University, China

    96 publications · 5.8K citations

    47

    h-index

  3. ER
    Eric Rogers

    University of Southampton, United Kingdom

    71 publications · 4.1K citations

    34

    h-index

  4. FG
    Furong Gao

    Hong Kong University of Science and Technology, Hong Kong SAR China

    45 publications · 3.4K citations

    31

    h-index

  5. YC
    YangQuan Chen

    University of California, Merced, United States

    55 publications · 4.6K citations

    31

    h-index

1–5 of 2.9K

Venues

  1. Automatica

    75 publications · 7.2K citations

    48

    h-index

  2. International Journal of Control

    62 publications · 5.3K citations

    38

    h-index

  3. IEEE Transactions on Industrial Electronics

    56 publications · 4.5K citations

    37

    h-index

  4. IEEE Transactions on Control Systems Technology

    68 publications · 3.8K citations

    36

    h-index

  5. IEEE Transactions on Automatic Control

    49 publications · 4.1K citations

    35

    h-index

1–5