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
2K
A survey of iterative learning control
Douglas A. Bristow, Marina Tharayil, Andrew G. Alleyne · IEEE Control Systems · 2006 · 2.9K citations
1–5 of 2K
2.9K
48
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34
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Hong Kong University of Science and Technology, Hong Kong SAR China
45 publications · 3.4K citations
31
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31
h-index
1–5 of 2.9K
803
National University of Singapore
Singapore, Singapore
55 h-index
261 publications
18.2K citations
Beijing Jiaotong University
Beijing, China
44 h-index
149 publications
9.4K citations
University of Southampton
Southampton, United Kingdom
39 h-index
248 publications
12.4K citations

Beihang University
Beijing, China
35 h-index
127 publications
6.1K citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
32 h-index
117 publications
7.2K citations
University of Sheffield
Sheffield, United Kingdom
30 h-index
90 publications
4.6K citations

Utah State University
Logan, United States
29 h-index
64 publications
4.8K citations
Qingdao University of Science and Technology
Qingdao, China
27 h-index
80 publications
4.1K citations
1–8 of 803
75 publications · 7.2K citations
48
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62 publications · 5.3K citations
38
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56 publications · 4.5K citations
37
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68 publications · 3.8K citations
36
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49 publications · 4.1K citations
35
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