Adaptive Dynamic Programming Control
Adaptive Dynamic Programming Control is a research topic within Computational Theory and Mathematics. Science Explorer counts 8k research works in it since 1965. 27.2% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the application of Adaptive Dynamic Programming and Reinforcement Learning techniques to solve optimal control problems in continuous-time nonlinear systems. It explores the use of neural networks, policy iteration, actor-critic algorithms, and $H_{infty}$ control for online learning and feedback control in various domains such as robotics, energy management, and multi-agent systems.
- Adaptive Dynamic Programming
- Reinforcement Learning
- Optimal Control
- Neural Networks
- Continuous-Time Systems
- Nonlinear Systems
- Policy Iteration
- Actor-Critic Algorithm
- $H_{infty}$ Control
- Online Learning
- Research works
- 8k fractional, since 1965
- In the world top 10%
- 2.2k per year above
- Top-10% rate
- 27.2% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +139% the tick is no change
Which countries lead Adaptive Dynamic Programming Control research?
By volume, China and the United States publish the most (2k and 238 works in 2022–2025).
By volume, 2022–2025
- 1 China 2k works
- 2 United States 238 works
- 3 India 68 works
- 4 Iran 57 works
- 5 South Korea 50 works
- 6 United Kingdom 47 works
- 7 ?? 43 works
- 8 Canada 41 works
- 9 Japan 36 works
- 10 Germany 31 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.
Shares of the rows listed above, not of the whole node.
Which institutions lead Adaptive Dynamic Programming Control research?
By volume in 2022–2025, Northeastern University publishes the most Adaptive Dynamic Programming Control research, followed by Nanjing University of Aeronautics and Astronautics and Beihang University.
By volume, 2022–2025
- 1 Northeastern University China 73 works
- 2 Nanjing University of Aeronautics and Astronautics China 59 works
- 3 Beihang University China 54 works
- 4 Northwestern Polytechnical University China 51 works
- 5 Harbin Institute of Technology China 51 works
- 6 Beijing University of Technology China 43 works
- 7 Southeast University China 41 works
- 8 Bohai University China 40 works
- 9 Nanjing University of Science and Technology China 38 works
- 10 University of Electronic Science and Technology of China China 33 works
Who are the leading researchers in Adaptive Dynamic Programming Control?
The most-cited researchers publishing on Adaptive Dynamic Programming Control include Peng Shi, Jinde Cao and Fei–Yue Wang.
- 1 Peng Shi 5k citations
- 2 Jinde Cao 4.2k citations
- 3 Fei–Yue Wang 4.2k citations
- 4 Frank L. Lewis 3.8k citations
- 5 Qing‐Long Han 3.8k citations
- 6 C. L. Philip Chen 3.6k citations
- 7 Lihua Xie 3.2k citations
- 8 Pieter Abbeel 3.1k citations
- 9 Miroslav Krstić 3.1k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Adaptive Dynamic Programming Control research done?
The largest centres of Adaptive Dynamic Programming Control research in 2022–2025 are Beijing (China), Nanjing (China), Xi'an (China) and Shanghai (China). Among places with at least 20 works in it, it is an unusually large share of all research in Jinzhou.
Largest cities, 2022–2025
Where it is the local speciality
- JinzhouCN · 71.9 works97×
Location quotient: how much more of its research is in Adaptive Dynamic Programming Control than the world average.
Where is the best place to study Adaptive Dynamic Programming Control?
Among universities, judged by research, Northeastern University, Bohai University and Qingdao 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.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Northeastern University China | 77.4 | 34.6% | 28.6× | 73 | +290.1% |
| 2 | Bohai University China | 73.2 | 37.9% | 134.9× | 40 | +726.1% |
| 3 | Qingdao University China | 70.4 | 41.1% | 13.4× | 21 | +406.8% |
| 4 | Nanjing University of Aeronautics and Astronautics China | 68.8 | 24.7% | 22.5× | 58 | +409.1% |
| 5 | Southeast University China | 68.6 | 27.8% | 10.4× | 41 | +192.3% |
| 6 | Nanjing University of Science and Technology China | 68.3 | 30.3% | 15.6× | 38 | +424.6% |
| 7 | Harbin Institute of Technology China | 66.5 | 22.7% | 10.6× | 51 | +627.4% |
| 8 | Northwestern Polytechnical University China | 65.9 | 21.4% | 15.3× | 51 | +493.1% |
| 9 | Liaoning University of Technology China | 65.9 | 33.6% | 148.8× | 32 | +167.8% |
| 10 | Beihang University China | 65.4 | 25.6% | 16.8× | 54 | +143.1% |
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 Adaptive Dynamic Programming Control research growing?
Output in 2018–2022 was 139% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Adaptive Dynamic Programming Control.
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.