Adaptive Iterative Learning Control is a control strategy that integrates adaptive control techniques with iterative learning algorithms to enable a system to improve its performance over repeated iterations by adjusting its parameters in response to tracking errors, while accommodating uncertainties and variations in dynamic systems.
286
Publications
14.2K
Citations
545
Authors
227
Institutions
Publications per year
2017–2026
153
Variants
Ailc
Parents
Publications
286
1–5 of 286
Authors
545
- ZH
27
h-index
- RC
15
h-index
- JL
12
h-index
- DO
10
h-index
- CC
10
h-index
1–5 of 545
Institutions
227
Beijing Jiaotong University
Beijing, China
22 h-index
49 publications
3K citations
Qingdao University
Qingdao, China
21 h-index
24 publications
1.2K citations
Qingdao University of Science and Technology
Qingdao, China
17 h-index
37 publications
1.8K citations
Xidian University
Xi'an, China
15 h-index
47 publications
2.1K citations
University of Alberta
Edmonton, Canada
12 h-index
13 publications
469 citations
Beihang University
Beijing, China
12 h-index
24 publications
1.2K citations
Sun Yat-sen University
Guangzhou, China
11 h-index
15 publications
636 citations
Southwest Jiaotong University
Chengdu, China
10 h-index
22 publications
1.2K citations
1–8 of 227
Venues
- IEEE Transactions on Neural Networks and Learning Systems
15 publications · 988 citations
15
h-index
- International Journal of Systems Science
11 publications · 307 citations
11
h-index
- IEEE Transactions on Cybernetics
10 publications · 547 citations
10
h-index
- IEEE Transactions on Industrial Electronics
10 publications · 1.2K citations
10
h-index
- Journal of the Franklin Institute
9 publications · 368 citations
10
h-index
1–5