Guest Editors
Prof. Lianghao Ji
Email: jilh@cqupt.edu.cn
Affiliation: School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China
Homepage:
Research Interests: multi-agent systems, swarm Intelligence, theory and application of collaborative control for complex systems
Dr. Xing Guo
Email: guoxing@cqupt.edu.cn
Affiliation: School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China
Homepage:
Research Interests: multi-agent systems, complex networks, theory and application of collaborative control for complex systems
Assoc. Prof. Shasha Yang
Email: yangss@cqupt.edu.cn
Affiliation: School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China
Homepage:
Research Interests: multi-agent systems, swarm intelligence, theory and application of collaborative control for complex systems
Summary
Multi-agent systems (MASs) have transformed the design and operation of complex distributed systems across domains such as robotics, smart grids, transportation, and industrial automation. By enabling multiple autonomous agents to collaborate, compete, or coordinate through localized decision-making, MAS provide robustness, scalability, and adaptability that are essential for modern intelligent infrastructures. The integration of advanced computational modelling-including game theory, machine learning, and distributed optimization—has further accelerated the development of MAS, allowing for sophisticated simulations and predictive control strategies that enhance system-level performance.
This Special Issue seeks to explore the synergistic integration of theoretical frameworks, computational models, and real-world applications in multi-agent systems. It will highlight cutting-edge advancements in decentralized control, collaborative autonomy, swarm intelligence, and emergent behaviors, emphasizing how computational modeling serves as a bridge between theoretical innovation and practical implementation. The convergence of these approaches not only deepens our understanding of complex agent interactions but also unlocks new possibilities for designing resilient and scalable distributed systems.
Suggested Themes for the Special Issue:
• Distributed Cooperative Control and Optimization in Multi-Agent Systems
• Focus: Consensus, synchronization, flocking, distributed optimization, and cooperative learning
• Security and Resilient Control of Multi-Agent Systems Under Cyber Threats
• Focus: Defense against DoS attacks, false data injection, privacy preservation, and resilient consensus
• Optimal and Efficient Consensus with Limited Resources
• Focus: Energy-aware control, communication efficiency, event-triggered mechanisms, and scalable algorithms
• Formation Control and Collaborative Tracking for Heterogeneous Agents
• Focus: UAV/UGV swarms, leader-follower networks, formation maneuvering, and target tracking
• AI-Enhanced Multi-Agent Systems: Learning and Adaptation
• Focus: Reinforcement learning, adaptive dynamic programming, game-theoretic approaches, and emergent intelligence
• Multi-Agent Systems in Real-World Applications: From Theory to Practice
• Focus: Smart grids, robotic networks, intelligent transportation, and industrial cyber-physical systems
Keywords
multi-agent systems, synchronization, consensus, distributed cooperative control, optimal control, secure control, cyber attacks
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