Mathematical Methods Applied in Artificial Intelligence and Multi-Agent Systems, 2nd Edition
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Mathematics and Computer Science".
Deadline for manuscript submissions: 20 May 2025 | Viewed by 1180
Special Issue Editors
Interests: distributed control and optimization; complex systems and control
Special Issues, Collections and Topics in MDPI journals
Interests: multiagent systems; reinforcement learning; robot control
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Due to rapid developments in computing, communication and sensing technology, multi-agent systems have become increasingly ubiquitous in real life. Their applications include mobile sensor networks, autonomous vehicle formations, intelligent transportation systems, smart grids, etc. The complex unknown environment and inaccurate dynamics pose additional challenges in the design of system modeling, control and optimization of such systems. Therefore, data science and machine learning are providing opportunities to develop artificial intelligence-based methods and enable new control and optimization paradigms for multi-agent systems.
The aim of this Special Issue is to highlight significant developments at the interface of machine learning, dynamics and control systems. Original papers addressing the aforementioned challenges and opportunities are especially welcome.
Potential topics include, but are not limited to, the following:
- Data-driven modeling and system identification of multi-agent systems;
- Reinforcement learning control and optimization of multi-agent systems;
- Intelligent learning and adaptive control of multi-agent systems;
- Robust distributed control methods;
- Sampled data and event-triggered intelligent control;
- Online-distributed optimization and coordination;
- Distributed intelligent control and optimization applications.
Prof. Dr. Jiangping Hu
Dr. Zhinan Peng
Guest Editors
Manuscript Submission Information
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Keywords
- machine learning
- multi-agent systems and control
- distributed optimization
- robust and intelligent control
- data-based model identification
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