Advanced Control Strategies and Applications of Multi-Agent Systems
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Systems & Control Engineering".
Deadline for manuscript submissions: 15 February 2025 | Viewed by 490
Special Issue Editors
Interests: nonlinear control; adaptive control; multi-agent systems; spacecraft formation control; aircraft formation control
Interests: multidimensional systems; complex networks; sliding mode control; multi-agent systems
Interests: adaptive control; fault detection and fault-tolerant control; multi-agent coordination; cyber–physical system
Interests: unmanned systems; information fusion; distributed control; navigation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue (SI) aims to explore the latest advancements in multi-agent system (MAS) control strategies and practical applications. MASs, consisting of multiple interacting intelligent agents, have the potential to solve intricate problems through a form of coordination and distributed decision making that single agents could not handle, with significant implications for various domains such as robotics, autonomous vehicles, aircraft formation, spacecraft formation, smart grids, and distributed sensor networks. The coordination of MAS presents unique challenges and opportunities for enhancing system efficiency, resilience, and adaptability. One major challenge is designing robust and adaptive control algorithms that can handle MAS in dynamic and uncertain environments. Ensuring reliable and efficient communication among agents is another critical area. Additionally, a key research direction involves reducing communication resource usage and improving efficiency in the decision-making process.
This SI seeks high-quality submissions highlighting cutting-edge research and developments in MASs, focusing on their control, coordination, communication, and learning capabilities. The topics of interest include advanced control algorithms, cooperative behaviors, distributed decision making, adaptive learning mechanisms, and MAS applications. The goal is to provide a platform for researchers and practitioners to share their latest theoretical, experimental, and applied research findings, fostering a deeper understanding and broader application of MASs in solving real-world problems, pushing the boundaries of what is currently possible.
Dr. Han Gao
Dr. Guangchen Zhang
Prof. Dr. Xin Wang
Dr. Jinwen Hu
Guest Editors
Manuscript Submission Information
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Keywords
- multi-agent systems
- formation control
- consensus tracking
- event-triggered control
- dynamic network topology
- distributed control
- distributed optimization
- resilient consensus
- game theory
- non-cooperative games
- mixed-motive games
- multi-agent reinforcement learning
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