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Iterative Learning Control Systems
TopicLeading institutions, researchers & key papers
This cluster of papers focuses on Iterative Learning Control (ILC) and its applications in engineering practice. It covers topics such as repetitive control, model-free adaptive control, data-driven control, motion control, robotic systems, feed drive systems, batch processes, nonlinear systems, and convergence analysis.
52
Works
IDs:OpenAlex
How has Iterative Learning Control Systems's publication output changed over time?
ScholarIQpublication output · 1989–2021
Output grew0% over the shown period — from 1 works in 1989 to 1 in 2021.
1
1
2
1
1
3
1
1
2
1
1989200620142015201620172018201920202021
What are the most-cited papers on Iterative Learning Control Systems?
ScholarIQmost cited works
Event-Triggered Model-Free Adaptive Iterative Learning Control for a Class of Nonlinear Systems Over Fading Channels
Xuhui Bu, Wei Yu, Qiongxia Yu, Zhongsheng Hou, Junqi Yang
IEEE Transactions on Cybernetics. 2021126 Citations
Design of learning input shaping technique for residual vibration suppression in an industrial robot
Juyi Park, Pyung‐Hun Chang, Hyung‐Soon Park, Eunjeong Lee
S13961689. 2006121 Citations
A Comprehensive Contact Analysis of Planetary Roller Screw Mechanism
Xiaojun Fu, Geng Liu, Shangjun Ma, Ruiting Tong, Teik C. Lim
S88457320. 201673 Citations
A nonlinear six degrees of freedom dynamic model of planetary roller screw mechanism
Xiaojun Fu, Geng Liu, Ruiting Tong, Shangjun Ma, Teik C. Lim
S6785741. 201757 Citations
A Frictional Heat Model of Planetary Roller Screw Mechanism Considering Load Distribution
Shangjun Ma, Geng Liu, Ruiting Tong, Xiaojun Fu
S1574008. 201456 Citations
Where is Iterative Learning Control Systems research published, and who funds it?
ScholarIQvenues & funding sources
TOP JOURNALS
TOP FUNDERS
National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
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How much of the research on Iterative Learning Control Systems is open access?
ScholarIQopen access share
29%OPEN ACCESS
Gold
14%
Green
0%
Hybrid
14%
Bronze
0%
Closed
71%
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