Automatic Control of Multi-Agent Systems
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 30 June 2025 | Viewed by 1675
Special Issue Editors
Interests: multi-agent system; collaborative control; optimization theory and application; complex systems and complex networks
Special Issues, Collections and Topics in MDPI journals
Interests: multi-agent system; control and optimization; distributed algorithms; artificial intelligence; privacy security; smart grids; machine learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent years, with the continuous development of scientific technologies and sensor networks, researchers have increasingly paid attention to multi-agent systems and accomplished many remarkable achievements. On the one hand, multi-agent systems provide a theoretical research method for the modeling and analysis of complex systems. On the other hand, multi-agent systems are also crucial branches of research on artificial intelligence. As one of the most essential research subjects regarding multi-agent systems, the automatic control of multi-agent systems has garnered intensive research interest owing to its applicative potential in the fields of medicine, finance, and transportation, conveying enormous economic and social benefits. However, with the deepening of automatic control applications, its technical flaws and the problems generated by decision bias and its usage safety have resulted in a crisis of trust. Thus, the research community continues to investigate the most advanced automatic control techniques for multi-agent systems in order to enhance the reliability of its application.
This Special Issue aims to provide an overview of the latest research results and developments in artificial intelligence and control theory, with a particular focus on the advanced theories and practical applications of automatic control for multi-agent systems in control science, network systems, mathematics, communication engineering, computer science, electronic information, industrial engineering, and other fields. We kindly invite researchers and practitioners to contribute high-quality original research or review articles that discuss cutting-edge research in artificial intelligence and control theory. Analytical, numerical, and experimental articles that contribute to the development of artificial intelligence and control technologies are welcome.
Prof. Dr. Huaqing Li
Dr. Qingguo Lü
Guest Editors
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Keywords
- control theory and application
- multi-agent systems
- complex networks
- industrial automation
- intelligent fault detection
- modelling and simulation
- wireless sensor networks
- multiobjective optimization
- soft computing techniques
- artificial intelligence
- big data analytics
- information processing
- human interaction
- computing approaches
- communication mechanisms
- machine learning
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