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 90

Special Issue Editors


E-Mail Website
Guest Editor
School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
Interests: distributed control and optimization; complex systems and control
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
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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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • machine learning
  • multi-agent systems and control
  • distributed optimization
  • robust and intelligent control
  • data-based model identification

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