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Real-time simulation and control systems

Real-time simulation and control systems is a research topic within Control and Systems Engineering. Science Explorer counts 32k research works in it since 1950. 11.1% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on real-time simulation technologies for power systems, with an emphasis on Hardware-in-the-Loop (HIL) simulation, FPGA-based emulation, and digital simulation of power electronics, electrical systems, and renewable energy applications. The papers cover topics such as control systems, electric drives, and smart grid development.

  • Hardware-in-the-Loop
  • Real-Time Simulation
  • Power Electronics
  • FPGA-Based Emulation
  • Electrical Systems
  • Digital Simulator
  • Renewable Energy
  • Control Systems
  • Electric Drives
  • Smart Grid
Research works
32k
fractional, since 1950
In the world top 10%
3.6k
per year above
Top-10% rate
11.1%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
-1%
the tick is no change

Which countries lead Real-time simulation and control systems research?

By volume, China and the United States publish the most (1.6k and 748 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 1.6k works
  2. 2 United States 748 works
  3. 3 Germany 472 works
  4. 4 India 341 works
  5. 5 United Kingdom 206 works
  6. 6 Italy 176 works
  7. 7 Japan 130 works
  8. 8 Canada 125 works
  9. 9 France 117 works
  10. 10 South Korea 116 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: 39.7%United States: 18.6%Germany: 11.7%India: 8.5%6 others listed: 21.6%40%largest
China1,597 · 39.7%United States748 · 18.6%Germany472 · 11.7%India341 · 8.5%6 others listed871 · 21.6%

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

Which institutions lead Real-time simulation and control systems research?

By volume in 2022–2025, University of Portsmouth publishes the most Real-time simulation and control systems research, followed by Tsinghua University and Beihang University.

Who are the leading researchers in Real-time simulation and control systems?

The most-cited researchers publishing on Real-time simulation and control systems include Frede Blaabjerg and Remus Teodorescu.

  1. 1 Frede Blaabjerg Denmark 12k citations
  2. 2 Remus Teodorescu Denmark 4.2k citations

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

Where is Real-time simulation and control systems research done?

The largest centres of Real-time simulation and control systems research in 2022–2025 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 Portsmouth, Stuttgart and Aachen.

Largest cities, 2022–2025

  1. 1 Beijing China 356 works
  2. 2 Shanghai China 175 works
  3. 3 Nanjing China 113 works
  4. 4 Xi'an China 105 works
  5. 5 Wuhan China 73 works
  6. 6 Munich Germany 64 works
  7. 7 Guangzhou China 62 works
  8. 8 Tokyo Japan 58 works
  9. 9 Hangzhou China 56 works
  10. 10 Portsmouth United Kingdom 56 works

Where it is the local speciality

  1. PortsmouthGB · 56.3 works59×
  2. StuttgartDE · 53.5 works12×
  3. AachenDE · 41.5 works9.1×
  4. KarlsruheDE · 31.3 works7.9×
← less than its size predictsmore →

Location quotient: how much more of its research is in Real-time simulation and control systems than the world average.

See Real-time simulation and control systems on the map

Where is the best place to study Real-time simulation and control systems?

Among universities, judged by research, Technical University of Munich, University of Stuttgart and Politecnico di Torino 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 11.65%fractional works in this node (log) →share in the world top 10% →Technical University of Munich: 30, 18.6%University of Stuttgart: 30, 10.6%Politecnico di Torino: 23, 14.5%Karlsruhe Institute of Technology: 24, 7.2%RWTH Aachen University: 32, 8.0%Delft University of Technology: 17, 19.5%University of Portsmouth: 56, 0.0%Aalborg University: 15, 15.8%Northwestern Polytechnical University: 41, 11.2%Politecnico di Milano: 24, 11.1%Technical University…Politecnico di TorinoUniversity of Stuttg…Karlsruhe Institute …
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 Technical University of MunichGermany 71.618.6%7.3×30 +63.0%
2 University of StuttgartGermany 67.910.6%16.6×30 +124.6%
3 Politecnico di TorinoItaly 67.614.5%9.7×23 +49.9%
4 Karlsruhe Institute of TechnologyGermany 58.67.2%9.0×24 +99.5%
5 RWTH Aachen UniversityGermany 58.48.0%8.7×32 +67.9%
6 Delft University of TechnologyNetherlands 58.419.5%5.0×17 +2.4%
7 University of PortsmouthUnited Kingdom 57.90.0%71.2×56
8 Aalborg UniversityDenmark 56.115.8%5.7×15 +52.1%
9 Northwestern Polytechnical UniversityChina 51.811.2%6.8×41 -57.8%
10 Politecnico di MilanoItaly 51.811.1%6.5×24 +19.4%

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 Real-time simulation and control systems research growing?

Output in 2018–2022 was 1% lower than in 2013–2017, peaking in 2024. The fastest-growing topics are Real-time simulation and control systems.

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.