Adaptive Dynamic Programming and Control Application in Intelligent Systems
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Robotics and Automation".
Deadline for manuscript submissions: closed (20 November 2023) | Viewed by 8927
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Special Issue Editors
Interests: multi-agent cooperative control; fault diagnosis and fault tolerance of aircraft
Interests: robotic control; reinforcement learning; adaptive dynamic programming; output regulation; optimal control; cooperative control; sampled-data systems; intelligent transportation systems; connected vehicles & autonomous vehicles
Special Issue Information
Dear Colleagues,
Adaptive dynamic programming (ADP) affords a methodology for learning optimal control actions online in real time based on system performance without necessarily knowing the system dynamics. It successfully combines the theories of neural networks, adaptive evaluation design, reinforcement learning and classical dynamic programming, effectively avoids the “curse of dimensionality”, and receives much attention and research. As a result, recent years have witnessed a tremendous growth in its application in intelligent systems, such as robotic unmanned vehicles. The aim of the proposed Special Issue is to introduce the latest research results on adaptive dynamic programming and control applications in intelligent systems, including ADP for optimal regulation, ADP for game theory, ADP for cooperative control, etc. This Special Issue provides an opportunity for both academic researchers, particularly in the systems and control community, and the automotive industry to acquire frontier knowledge on ADP technologies.
This Special Issue aims to provide up-to-date research concepts, theoretical findings, and practical solutions that could help advance ADP technologies. Topics of interest include, but are not limited to, the following:
- ADP-based intelligent control methods;
- Deep ADP technology;
- ADP for optimal regulation problems;
- ADP for game theory;
- ADP for large-scale systems;
- ADP for multi-agent systems;
Dr. Pingli Lu
Dr. Weinan Gao
Guest Editors
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Keywords
- ADP-based intelligent control methods
- deep ADP technology
- ADP for optimal regulation problems
- ADP for game theory
- ADP for large-scale systems
- ADP for multi-agent systems
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