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Topic · Control and Systems Engineering

Control Systems and Identification

Control Systems and Identification is a research topic within Control and Systems Engineering. Science Explorer counts 44k research works in it since 1950. 9.9% of them reached the world's top 10% most cited for their field and year.

This cluster of papers covers advances in system identification techniques, including parameter estimation for nonlinear models, data-driven control, model-based control, feedback controllers, state estimation for multivariable systems, and the development of recursive algorithms. The papers also discuss model selection approaches and optimal experiment design for system identification.

  • System Identification
  • Parameter Estimation
  • Nonlinear Models
  • Data-Driven Control
  • Model-Based Control
  • Feedback Controllers
  • State Estimation
  • Multivariable Systems
  • Recursive Algorithms
  • Model Selection
Research works
44k
fractional, since 1950
In the world top 10%
4.4k
per year above
Top-10% rate
9.9%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+1%
the tick is no change
Largest producer
China
40% of the 10 largest, 2022-now
Control Systems and Identification

Which countries lead Control Systems and Identification research?

By volume, China and the United States publish the most (1.5k and 716 works in 2022-now).

By volume, 2022-now

  1. 1 China 1.5k works
  2. 2 United States 716 works
  3. 3 Germany 294 works
  4. 4 India 235 works
  5. 5 France 234 works
  6. 6 Japan 185 works
  7. 7 Italy 164 works
  8. 8 Russia 153 works
  9. 9 United Kingdom 149 works
  10. 10 Brazil 117 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: 39.6%United States: 19.3%Germany: 7.9%India: 6.3%6 others listed: 26.9%40%largest
China1,470 · 39.6%United States716 · 19.3%Germany294 · 7.9%India235 · 6.3%6 others listed1,001 · 26.9%

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

Which institutions lead Control Systems and Identification research?

By volume in 2022-now, Centre National de la Recherche Scientifique publishes the most Control Systems and Identification research, followed by Jiangnan University and Russian Academy of Sciences.

By volume, 2022-now

  1. 1 Centre National de la Recherche ScientifiqueFrance 81 works
  2. 2 Jiangnan UniversityChina 49 works
  3. 3 Russian Academy of SciencesRussia 44 works
  4. 4 Harbin Institute of TechnologyChina 43 works
  5. 5 Eindhoven University of TechnologyNetherlands 38 works
  6. 6 Chinese Academy of SciencesChina 38 works
  7. 7 Tsinghua UniversityChina 31 works
  8. 8 Beihang UniversityChina 31 works
  9. 9 Delft University of TechnologyNetherlands 29 works
  10. 10 Beijing Institute of TechnologyChina 29 works

Who are the leading researchers in Control Systems and Identification?

The most-cited researchers publishing on Control Systems and Identification include Yoshua Bengio, Geoffrey E. Hinton and Robert John Tibshirani.

  1. 1 Yoshua Bengio Canada 476k citations
  2. 2 Geoffrey E. Hinton Canada 454k citations
  3. 3 Robert John Tibshirani United States 396k citations
  4. 4 Karl John Friston United Kingdom 310k citations
  5. 5 Donald B. Rubin United States 301k citations
  6. 6 Trevor Hastie United States 301k citations
  7. 7 Xiaogang Wang China 260k citations
  8. 8 Leo Breiman United States 243k citations
  9. 9 Gordon K. Smyth Australia 237k citations
  10. 10 Peter M. Bentler United States 233k 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 Control Systems and Identification?

The most cited paper in Control Systems and Identification is "Maximum Likelihood from Incomplete Data Via the EM Algorithm" (A. P. Dempster, N. M. Laird, Donald B. Rubin, 1977), with 50,034 citations. Next come "Learning representations by back-propagating errors" (32,003) and "Bootstrap Methods: Another Look at the Jackknife" (17,826).

Most cited papers
#PaperReleasedCitations
1 Maximum Likelihood from Incomplete Data Via the EM Algorithm A. P. Dempster, N. M. Laird, Donald B. Rubin · Journal of the Royal Statistical Society Series B (Statistical Methodology) Sep 1977 50,034
2 Learning representations by back-propagating errors David E. Rumelhart, Geoffrey E. Hinton, Ronald J. Williams · Nature Oct 1986 32,003
3 Bootstrap Methods: Another Look at the Jackknife B. Efron · The Annals of Statistics Open access 1979 17,826
4 Fundamentals of Statistical Signal Processing: Estimation Theory Sailes K. Sengijpta · Technometrics Nov 1995 11,254
5 Least angle regression Bradley Efron, Trevor Hastie, Iain M. Johnstone et al. · The Annals of Statistics Open access Apr 2004 9,594
All 99 most cited papers, with filters and sorting

Where is Control Systems and Identification research done?

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

Largest cities, 2022-now

  1. 1 BeijingChina 238 works
  2. 2 ShanghaiChina 106 works
  3. 3 NanjingChina 87 works
  4. 4 HarbinChina 70 works
  5. 5 TokyoJapan 68 works
  6. 6 Xi'anChina 68 works
  7. 7 QingdaoChina 64 works
  8. 8 MoscowRussia 59 works
  9. 9 ParisFrance 59 works
  10. 10 WuxiChina 51 works

Where it is the local speciality

  1. GabèsTN · 20.8 works53×
  2. EindhovenNL · 38.9 works17×
  3. WuxiCN · 51.4 works11×
  4. StuttgartDE · 35.7 works8.2×
← less than its size predicts1×more →

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

See Control Systems and Identification on the map

Where is the best place to study Control Systems and Identification?

Among universities, judged by research, Qingdao University of Science and Technology, Jiangnan University and University of Stuttgart 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 20.95%fractional works in this field (log) →share of work in the world top 10% →Qingdao University o…Jiangnan UniversityUniversity of Stuttg…Delft University 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 University of Science and TechnologyChina 73.644.7%15.1×24 -0.6%
2Jiangnan UniversityChina 70.323.8%18.6×49 +11.0%
3University of StuttgartGermany 58.520.7%18.5×28 +40.4%
4Delft University of TechnologyNetherlands 55.97.5%9.8×29 +43.1%
5Jiangsu University of TechnologyChina 55.534.3%35.7×12 +503.1%
6Eindhoven University of TechnologyNetherlands 55.46.4%24.4×38 +12.4%
7Harbin Institute of TechnologyChina 55.215.6%6.0×43 -9.1%
8Beijing Institute of TechnologyChina 53.523.3%5.5×29 +5.9%
9Tsinghua UniversityChina 52.018.1%3.1×31 +84.6%
10Beihang UniversityChina 51.615.1%6.3×30 +17.3%

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 Control Systems and Identification, country by country

Is Control Systems and Identification research growing?

Output in 2022-2025 was 1% higher than in 2018-2021, peaking in 2002. The fastest-growing topics are Control Systems and Identification.

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 Control Systems and Identification as a percentage of every work published that year, 0.023% in 2024.

still counting0.050%0.10%0.15%Control Systems and Identification0.022% in 202519801990200020102020

Fractional works of Control Systems and Identification 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%Control Systems and Identification9.9% 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.

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