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Control Systems in Engineering

Control Systems in Engineering is a research topic within Mechanical Engineering. Science Explorer counts 10k research works in it since 1950. 10.2% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the vibration suppression and control of two-mass drive systems, particularly addressing issues such as torsional vibration, elastic coupling, and mechanical resonance. Various control methods including adaptive, neuro-fuzzy, PID, and model-based predictive control are explored for improving the performance of industrial drives with mechanical elasticity.

  • Vibration Suppression
  • Drive Systems
  • Two-Mass System
  • Control
  • Adaptive
  • Torsional Vibration
  • Elastic Coupling
  • Speed Control
  • Mechanical Resonance
  • Neuro-Fuzzy
Research works
10k
fractional, since 1950
In the world top 10%
1k
per year above
Top-10% rate
10.2%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
-13%
the tick is no change

Which countries lead Control Systems in Engineering research?

By volume, China and Germany publish the most (910 and 96 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 910 works
  2. 2 Germany 96 works
  3. 3 Japan 79 works
  4. 4 United States 68 works
  5. 5 India 65 works
  6. 6 Russia 54 works
  7. 7 Poland 43 works
  8. 8 South Korea 34 works
  9. 9 Vietnam 34 works
  10. 10 Italy 26 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: 64.6%Germany: 6.8%Japan: 5.6%United States: 4.8%6 others listed: 18.2%65%largest
China910 · 64.6%Germany96 · 6.8%Japan79 · 5.6%United States68 · 4.8%6 others listed256 · 18.2%

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

Which institutions lead Control Systems in Engineering research?

By volume in 2022–2025, Harbin Institute of Technology publishes the most Control Systems in Engineering research, followed by Nanjing University of Science and Technology and Beijing Institute of Technology.

Who are the leading researchers in Control Systems in Engineering?

The most-cited researchers publishing on Control Systems in Engineering include Frank L. Lewis, Xinghuo Yu and Shuzhi Sam Ge.

  1. 1 Frank L. Lewis United States 3.8k citations
  2. 2 Xinghuo Yu Australia 2.6k citations
  3. 3 Shuzhi Sam Ge Singapore 2.4k citations
  4. 4 YangQuan Chen United States 2.4k citations
  5. 5 Masayoshi Tomizuka United States 2.2k citations
  6. 6 Roméo Ortega France 2.1k citations

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

Where is Control Systems in Engineering research done?

The largest centres of Control Systems in Engineering research in 2022–2025 are Beijing (China), Nanjing (China), Harbin (China) and Shanghai (China). Among places with at least 20 works in it, it is an unusually large share of all research in Harbin, Nanjing and Tianjin.

Largest cities, 2022–2025

  1. 1 Beijing China 135 works
  2. 2 Nanjing China 78 works
  3. 3 Harbin China 53 works
  4. 4 Shanghai China 51 works
  5. 5 Xi'an China 47 works
  6. 6 Wuhan China 42 works
  7. 7 Hangzhou China 35 works
  8. 8 Tianjin China 33 works
  9. 9 Tokyo Japan 30 works
  10. 10 Guangzhou China 24 works

Where it is the local speciality

  1. HarbinCN · 52.6 works7.6×
  2. NanjingCN · 78.1 works4.5×
  3. TianjinCN · 33.2 works4.1×
← less than its size predictsmore →

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

See Control Systems in Engineering on the map

Where is the best place to study Control Systems in Engineering?

Among universities, judged by research, Harbin Institute of Technology, Southeast University and Nanjing University of Science and Technology 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%10%20%mean 8.67%fractional works in this node (log) →share in the world top 10% →Harbin Institute of Technology: 40, 14.0%Southeast University: 20, 10.6%Nanjing University of Science and Technology: 24, 7.4%AGH University of Krakow: 10, 6.3%Jiangsu University: 11, 19.0%Beijing Institute of Technology: 22, 4.0%Beihang University: 21, 6.4%Nanjing University of Aeronautics and Astronautics: 17, 5.0%Yanshan University: 17, 2.3%Huazhong University of Science and Technology: 13, 11.7%Harbin Institute of …Southeast UniversityNanjing University o…AGH University of Kr…
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1 Harbin Institute of TechnologyChina 76.714.0%14.0×40 +17.0%
2 Southeast UniversityChina 67.210.6%8.4×20 +60.5%
3 Nanjing University of Science and TechnologyChina 63.07.4%16.6×24 +61.9%
4 AGH University of KrakowPoland 61.16.3%14.5×10 +73.3%
5 Jiangsu UniversityChina 60.219.0%8.8×11 -45.3%
6 Beijing Institute of TechnologyChina 56.04.0%10.8×22 +47.8%
7 Beihang UniversityChina 50.86.4%10.9×21 -20.9%
8 Nanjing University of Aeronautics and AstronauticsChina 47.05.0%10.9×17 -6.0%
9 Yanshan UniversityChina 46.02.3%29.7×17 +25.2%
10 Huazhong University of Science and TechnologyChina 38.311.7%4.7×13 -15.1%

Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.

Is Control Systems in Engineering research growing?

Output in 2018–2022 was 13% lower than in 2013–2017, peaking in 2025. The fastest-growing topics are Control Systems in Engineering.

19801990200020102020
grewheldshrank

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

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.