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Adaptive Dynamic Programming Control
TopicLeading institutions, researchers & key papers
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.
10
Works
IDs:OpenAlex
How has Adaptive Dynamic Programming Control's publication output changed over time?
ScholarIQpublication output · 2018–2025
Output grew0% over the shown period — from 1 works in 2018 to 1 in 2025.
1
1
20182025
What are the most-cited papers on Adaptive Dynamic Programming Control?
ScholarIQmost cited works
Design of a completely model free adaptive control in the presence of parametric, non-parametric uncertainties and random control signal delay
Önder Tutsoy, Duygun Erol Barkana, Harun Tugal
S89543202. 201868 Citations
LLM-Driven Pareto-Optimal Multi-Mode Reinforcement Learning for Adaptive UAV Navigation in Urban Wind Environments
Jiahao Wu, Hengxu You, Bowen Sun, Jing Du
IEEE Access. 20256 CitationsOPEN ACCESS
Where is Adaptive Dynamic Programming Control research published, and who funds it?
ScholarIQvenues & funding sources
TOP JOURNALS
S8954320268
TOP FUNDERS
National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
Funder breakdown is a member featureSign up free to unlock
How much of the research on Adaptive Dynamic Programming Control is open access?
ScholarIQopen access share
50%OPEN ACCESS
Gold
50%
Green
0%
Hybrid
0%
Bronze
0%
Closed
50%
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