·  Multi-Agent System (多智能体系统)
·  Data-Driven Intelligent Control (数据驱动智能控制)
· Cooperative Control (协同控制)
·  Motion Planning (运动规划)

· Robust control and fault-tolerant control for multi-agent systems (多智能体系统鲁棒控制与容错控制)
·  Collaborative control for multi-agent systems (多智能体系统协同控制)
· Collaborative motion planning for multi-agent systems (多智能体系统协同运动规划)
· Reinforcement learning-based intelligent control for multi-agent systems (多智能体系统强化学习控制)
· Decision-making and control optimization in dynamic and complex environments (动态复杂环境下优化决策与控制)
· Applications in unmanned swarm systems (无人集群系统应用)

·  With the continuous breakthroughs and advancements in unmanned and intelligent technologies, multi-agent systems have found widespread applications in various fields, including national defense, transportation, energy, and agriculture. Intelligent control are core technologies enabling multi-agent systems to achieve environmental perception, decision optimization, and autonomous control. These technologies have garnered significant attention from academia and industry worldwide. In recent years, this field has witnessed the emergence of new theories, methods, and applications, injecting strong momentum into the technological progress of multi-agent systems. This special session aims to bring together technical experts from academia and industry to exchange ideas on recent intelligent control for multi-agent systems, share the latest research achievements and practical experiences, and explore key scientific challenges and technical issues in the field. The goal is to provide theoretical support and foster technological innovation for the further development of multi-agent systems.

·  随着无人化智能化技术的持续突破与发展，多智能体系统在国防、交通、能源、农业等各个领域取得了广泛应用。智能控制是多智能体系统实现环境感知、决策优化与自主控制的核心技术，备受国内外学术界和工业界的高度关注。近年来，该领域不断涌现出新的理论、方法与应用，为无人系统技术的持续进步注入了强劲动力。本专题旨在汇聚来自学术界和工业界的技术专家，围绕多智能体系统中的最新智能控制技术展开交流，分享最新研究成果与实践经验，探讨领域内的关键科学问题与技术难点，为推动多智能体系统的进一步发展提供理论支持与技术创新。