Adaptive Dynamic Programming and Intelligent Systems: Theory, Algorithms, and Applications
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E1: Mathematics and Computer Science".
Deadline for manuscript submissions: 31 August 2026 | Viewed by 89
Special Issue Editors
Interests: intelligent systems, artificial intelligence algorithms, and their applications
Interests: physics-informed machine learning, system modeling, and optimization
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Adaptive dynamic programming (ADP) and artificial intelligence are at the forefront of developing intelligent systems capable of self-learning and optimal decision-making in dynamic and uncertain environments. With the rapid progress of artificial intelligence, ADP techniques are increasingly integrated into intelligent systems, enabling them to learn, adapt, and optimize autonomously. However, challenges remain in improving algorithmic performance, enhancing computational efficiency, ensuring stability, and scaling ADP methods for real-world applications.
This Special Issue aims to bring together the latest theoretical advancements, algorithmic developments, and practical applications of ADP in intelligent systems. We seek contributions that push the boundaries of ADP theory, explore its integration with artificial intelligence, and demonstrate its efficacy in solving real-world problems in areas such as robotics, smart grids, industrial process control, smart manufacturing, sustainable energy systems, healthcare informatics and multi-agent systems. The Issue will showcase how ADP and artificial intelligence are driving the next generation of intelligent systems.
Dr. Xian-Bing Meng
Dr. Bingchuan Wang
Guest Editors
Manuscript Submission Information
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Keywords
- adaptive dynamic programming
- intelligent systems
- artificial intelligence
- reinforcement learning
- computational intelligence
- autonomous decision-making
- control and optimization
- intelligent modeling
- embodied intelligence
- multi-agent systems
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