Science Explorer Back to mapMap
Discussion
Topic · Control and Systems Engineering

Iterative Learning Control Systems

Iterative Learning Control Systems is a research topic within Control and Systems Engineering. Science Explorer counts 33k research works in it since 1950. 9.8% of them reached the world's top 10% most cited for their field and year.

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.

  • Iterative Learning Control
  • Repetitive Control
  • Model-Free Adaptive Control
  • Data-Driven Control
  • Motion Control
  • Robotic Systems
  • Feed Drive Systems
  • Batch Processes
  • Nonlinear Systems
  • Convergence Analysis
Research works
33k
fractional, since 1950
In the world top 10%
3.2k
per year above
Top-10% rate
9.8%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+23%
the tick is no change
Largest producer
China
71% of the 10 largest, 2022-now
Iterative Learning Control Systems

Which countries lead Iterative Learning Control Systems research?

By volume, China and the United States publish the most (3.1k and 242 works in 2022-now).

By volume, 2022-now

  1. 1 China 3.1k works
  2. 2 United States 242 works
  3. 3 Japan 206 works
  4. 4 India 203 works
  5. 5 Germany 125 works
  6. 6 South Korea 120 works
  7. 7 United Kingdom 109 works
  8. 8 Italy 83 works
  9. 9 France 81 works
  10. 10 Vietnam 74 works

How concentrated that is

The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.

China: 71.4%United States: 5.6%Japan: 4.7%India: 4.7%6 others listed: 13.6%71%largest
China3,106 · 71.4%United States242 · 5.6%Japan206 · 4.7%India203 · 4.7%6 others listed591 · 13.6%

Shares of the rows listed above, not of the whole node.

Which institutions lead Iterative Learning Control Systems research?

By volume in 2022-now, Harbin Institute of Technology publishes the most Iterative Learning Control Systems research, followed by Chinese Academy of Sciences and Nanjing University of Science and Technology.

By volume, 2022-now

  1. 1 Harbin Institute of TechnologyChina 130 works
  2. 2 Chinese Academy of SciencesChina 90 works
  3. 3 Nanjing University of Science and TechnologyChina 66 works
  4. 4 Nanjing University of Aeronautics and AstronauticsChina 53 works
  5. 5 Beihang UniversityChina 52 works
  6. 6 Huazhong University of Science and TechnologyChina 52 works
  7. 7 Northeastern UniversityChina 48 works
  8. 8 Southeast UniversityChina 47 works
  9. 9 Zhejiang UniversityChina 47 works
  10. 10 Tsinghua UniversityChina 46 works

Who are the leading researchers in Iterative Learning Control Systems?

The most-cited researchers publishing on Iterative Learning Control Systems include Kai You Wang, Frede Blaabjerg and Qiang Zhang.

  1. 1 Kai You Wang China 224k citations
  2. 2 Frede Blaabjerg Denmark 203k citations
  3. 3 Qiang Zhang China 184k citations
  4. 4 Seyedali Mirjalili Australia 154k citations
  5. 5 Huan Liu Australia 148k citations
  6. 6 Stephen Boyd United States 142k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

What are the most cited papers in Iterative Learning Control Systems?

The most cited paper in Iterative Learning Control Systems is "Bettering operation of Robots by learning" (Suguru Arimoto, Sadao Kawamura, Fumio Miyazaki, 1984), with 3,486 citations. Next come "Time-delay systems: an overview of some recent advances and open problems" (3,346) and "A survey of iterative learning control" (2,991).

Most cited papers
#PaperReleasedCitations
1 Bettering operation of Robots by learning Suguru Arimoto, Sadao Kawamura, Fumio Miyazaki · Journal of Robotic Systems Jun 1984 3,486
2 Time-delay systems: an overview of some recent advances and open problems Jean‐Pierre Richard · Automatica 3 Sep 2003 3,346
3 A survey of iterative learning control Douglas A. Bristow, Marina Tharayil, Andrew G. Alleyne · IEEE Control Systems Jun 2006 2,991
4 Robust Adaptive Control of Feedback Linearizable MIMO Nonlinear Systems With Prescribed Performance Charalampos P. Bechlioulis, George A. Rovithakis · IEEE Transactions on Automatic Control Oct 2008 2,762
5 Continuous finite-time control for robotic manipulators with terminal sliding mode Shuanghe Yu, Xinghuo Yu, Bijan Shirinzadeh et al. · Automatica Open access 7 Sep 2005 2,662
All 100 most cited papers, with filters and sorting

Where is Iterative Learning Control Systems research done?

The largest centres of Iterative Learning Control Systems research in 2022-now are Beijing (China), Nanjing (China), Shanghai (China) and Harbin (China). Among places with at least 20 works in it, it is an unusually large share of all research in Qinhuangdao and Eindhoven.

Largest cities, 2022-now

  1. 1 BeijingChina 413 works
  2. 2 NanjingChina 228 works
  3. 3 ShanghaiChina 168 works
  4. 4 HarbinChina 161 works
  5. 5 Xi'anChina 161 works
  6. 6 GuangzhouChina 134 works
  7. 7 HangzhouChina 129 works
  8. 8 WuhanChina 128 works
  9. 9 QingdaoChina 102 works
  10. 10 ShenyangChina 94 works

Where it is the local speciality

  1. QinhuangdaoCN · 38.7 works18×
  2. EindhovenNL · 22.9 works9.8×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Iterative Learning Control Systems than the world average.

See Iterative Learning Control Systems on the map

Where is the best place to study Iterative Learning Control Systems?

Among universities, judged by research, Qingdao University, Harbin Institute of Technology and Bohai University score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

0%20%40%mean 21.37%fractional works in this field (log) →share of work in the world top 10% →Bohai UniversityQingdao UniversityNortheastern Univers…Harbin Institute of …
above the meannear itbelow it

One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.

Excellenceshare of its work in the world top 10%, 2022-now and all time averaged
40%
Specialisationhow much of its work is in this field, counted up to 10× the world share
10%
Sizeits output in this field, on a log scale
30%
Growthoutput growth, counted from -20% to +20%
10%
Internationalshare of its work with a co-author abroad
10%
Each slider sets a weight; the share it gets of the score is beside it.
#UniversityScoreTop 10%SpecialisationWorksGrowth
1Qingdao UniversityChina 73.827.1%10.0×31 +61.0%
2Harbin Institute of TechnologyChina 71.520.0%17.3×130 +56.5%
3Bohai UniversityChina 64.332.2%24.1×11 +79.2%
4Northeastern UniversityChina 62.620.8%11.6×48 +23.8%
5Chongqing UniversityChina 62.020.8%9.1×45 +58.0%
6Southern University of Science and TechnologyChina 61.329.0%4.3×10 +367.9%
7Nanjing University of Science and TechnologyChina 59.913.7%17.4×66 +92.7%
8Southeast UniversityChina 58.212.4%7.0×47 +95.0%
9Huazhong University of Science and TechnologyChina 57.517.2%6.3×52 +59.0%
10Tsinghua UniversityChina 55.420.5%4.4×46 +5.3%

Universities only. The score blends excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.

Every institution in Iterative Learning Control Systems, country by country

Is Iterative Learning Control Systems research growing?

Output in 2022-2025 was 23% higher than in 2018-2021, peaking in 2024. The fastest-growing topics are Iterative Learning Control Systems.

still counting19801990200020102020
grewheldshrank

The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.

Its share of all research

Growing output can still be a shrinking share: all of science grows. This is Iterative Learning Control Systems as a percentage of every work published that year, 0.028% in 2024.

still counting0.050%0.10%Iterative Learning Control Systems0.024% in 202519801990200020102020

Fractional works of Iterative Learning Control Systems over all fractional works that year. How the balance of science has shifted.

How much of it reaches the world top 10%

Year by year.

still counting5%10%15%Iterative Learning Control Systems9.7% in 2025200020102020

Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.

Which topics inside it are moving

Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.

Discussion

Ask a question or share a note about Iterative Learning Control Systems. Posts are plain text and can be reported.