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Advanced Control Systems Optimization

Advanced Control Systems Optimization is a research topic within Control and Systems Engineering. Science Explorer counts 70k 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 focuses on the application of Model Predictive Control (MPC) in industrial processes, covering topics such as optimization, robust control, stability analysis, and real-time implementation. It explores the use of MPC for handling nonlinear systems, distributed control strategies, and its application in various industrial settings.

  • Model Predictive Control
  • Optimization
  • Nonlinear Systems
  • Robust Control
  • Distributed Control
  • Stability Analysis
  • Real-time Optimization
  • Nonlinear MPC
  • Industrial Applications
  • Constraint Handling
Research works
70k
fractional, since 1950
In the world top 10%
7k
per year above
Top-10% rate
9.9%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+18%
the tick is no change
Largest producer
China
49% of the 10 largest, 2022-now
Advanced Control Systems Optimization

Which countries lead Advanced Control Systems Optimization research?

By volume, China and the United States publish the most (3.8k and 1.2k works in 2022-now).

By volume, 2022-now

  1. 1 China 3.8k works
  2. 2 United States 1.2k works
  3. 3 Germany 585 works
  4. 4 India 534 works
  5. 5 France 331 works
  6. 6 United Kingdom 294 works
  7. 7 Italy 281 works
  8. 8 Canada 242 works
  9. 9 Japan 242 works
  10. 10 Brazil 219 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: 49.0%United States: 15.9%Germany: 7.5%India: 6.9%6 others listed: 20.7%49%largest
China3,818 · 49.0%United States1,239 · 15.9%Germany585 · 7.5%India534 · 6.9%6 others listed1,609 · 20.7%

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

Which institutions lead Advanced Control Systems Optimization research?

By volume in 2022-now, Centre National de la Recherche Scientifique publishes the most Advanced Control Systems Optimization research, followed by Northeastern University and Harbin Institute of Technology.

Who are the leading researchers in Advanced Control Systems Optimization?

The most-cited researchers publishing on Advanced Control Systems Optimization include Vladimir N. Vapnik, Kai You Wang and Frede Blaabjerg.

  1. 1 Vladimir N. Vapnik United States 227k citations
  2. 2 Kai You Wang China 224k citations
  3. 3 Frede Blaabjerg Denmark 203k 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 Advanced Control Systems Optimization?

The most cited paper in Advanced Control Systems Optimization is "Advances in neural information processing systems 7" (Krzysztof J. Cios, Mark E. Shields, 1997), with 22,314 citations. Next come "Dynamic Programming and Optimal Control" (10,909) and "YALMIP : a toolbox for modeling and optimization in MATLAB" (9,338).

Most cited papers
#PaperReleasedCitations
1 Advances in neural information processing systems 7 Krzysztof J. Cios, Mark E. Shields · Neurocomputing Sep 1997 22,314
2 Dynamic Programming and Optimal Control Dimitri P. Bertsekas May 1995 10,909
3 YALMIP : a toolbox for modeling and optimization in MATLAB Johan Löfberg Conference paper 21 Mar 2005 9,338
4 Constrained model predictive control: Stability and optimality D.Q. Mayne, James B. Rawlings, Christopher V. Rao et al. · Automatica Jun 2000 8,753
5 Using SeDuMi 1.02, A Matlab toolbox for optimization over symmetric cones Jos F. Sturm · Optimization methods & software 1999 7,558
All 100 most cited papers, with filters and sorting

Where is Advanced Control Systems Optimization research done?

The largest centres of Advanced Control Systems Optimization research in 2022-now are Beijing (China), Shanghai (China), Nanjing (China) and Xi'an (China). Among places with at least 20 works in it, it is an unusually large share of all research in Gabès, Qufu and Jinzhou.

Largest cities, 2022-now

  1. 1 BeijingChina 665 works
  2. 2 ShanghaiChina 293 works
  3. 3 NanjingChina 236 works
  4. 4 Xi'anChina 179 works
  5. 5 QingdaoChina 153 works
  6. 6 HarbinChina 146 works
  7. 7 ShenyangChina 144 works
  8. 8 HangzhouChina 144 works
  9. 9 WuhanChina 120 works
  10. 10 DalianChina 116 works

Where it is the local speciality

  1. GabèsTN · 23.0 works28×
  2. QufuCN · 34.2 works17×
  3. JinzhouCN · 40.7 works15×
  4. AnshanCN · 21.6 works13×
← less than its size predicts1×more →

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

See Advanced Control Systems Optimization on the map

Where is the best place to study Advanced Control Systems Optimization?

Among universities, judged by research, Northeastern University, Harbin Institute of Technology and Qingdao 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%20%40%60%mean 24.75%fractional works in this field (log) →share of work in the world top 10% →Changzhou UniversityQingdao University o…Northeastern 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
1Northeastern UniversityChina 68.123.8%13.3×111 +54.2%
2Harbin Institute of TechnologyChina 61.016.4%6.1×93 +78.6%
3Qingdao University of Science and TechnologyChina 60.928.8%13.0×45 +72.8%
4Changzhou UniversityChina 60.953.4%4.3×10 +29.3%
5Beijing University of TechnologyChina 60.325.9%7.0×46 +373.7%
6Beijing Institute of TechnologyChina 60.213.9%8.1×90 +97.9%
7Southern University of Science and TechnologyChina 59.529.9%4.6×23 +979.8%
8Shandong University of Science and TechnologyChina 58.517.8%10.2×46 +28.1%
9National University of SingaporeSingapore 57.619.3%3.4×38 +99.7%
10Tsinghua UniversityChina 57.218.3%3.5×75 +67.5%

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 Advanced Control Systems Optimization, country by country

Is Advanced Control Systems Optimization research growing?

Output in 2022-2025 was 18% higher than in 2018-2021, peaking in 2024. The fastest-growing topics are Advanced Control Systems Optimization.

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 Advanced Control Systems Optimization as a percentage of every work published that year, 0.054% in 2024.

still counting0.050%0.10%0.15%Advanced Control Systems Optimization0.050% in 202519801990200020102020

Fractional works of Advanced Control Systems Optimization 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%Advanced Control Systems Optimization9.8% 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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