Special Session Ⅴ

 

Safe and Resilient Distributed Control for Autonomous Multi-Agent Systems  (Submission Deadline: July 15, 2026)
无人集群系统安全韧性分布式协同控制

 

Chair:	Co-chairs:
Junjie Fu  Southeast University, China	Ying Wan Southeast University, China	Peijun Wang Anhui Normal University, China
Keywords:
·  Multi-Agent System (多智能体系统) ·  Distributed Control (分布式协同控制) ·  Safe Control (安全控制) ·  Resilient Control (韧性控制)
Topics (include but are not limited to):
·  Safety-Constrained Control Based on Control Barrier Functions (基于控制障碍函数的安全约束控制) ·  Distributed model predictive control and safety verification (分布式模型预测控制与安全验证) ·  Safety assurance under event-triggered control (事件触发控制下的安全保证) ·  Collaborative control under input/state constraints (输入/状态约束下的协同控制) ·  Distributed fault-tolerant control for sensor/actuator failures (针对传感器/执行器故障的分布式容错控制) ·  Resilient collaborative strategy under communication network attack (通信网络攻击下的弹性协同策略) ·  Attack detection and isolation mechanism (攻击检测与隔离机制) ·  Distributed state estimation and fault diagnosis (分布式状态估计与故障诊断) ·  Multi-agent control based on secure reinforcement learning (基于安全强化学习的多智能体控制)
Summary:
·  Autonomous multi-agent systems, such as autonomous driving fleets, drone swarms, distributed robot networks, and smart grids, are emerging as the core engines driving future intelligent industries and societies. These systems, through perception, communication, and coordination among individuals, are capable of accomplishing complex tasks that far exceed the capabilities of individual agents, demonstrating tremendous application potential. However, their characteristics of being distributed, networked, and autonomous also introduce unprecedented security and reliability challenges. In an open, dynamic, and potentially hostile environment, systems not only need to cope with internal sensor noise, actuator failures, and communication delays, but also resist external network attacks, information tampering, and physical interference. Traditional control architectures based on central nodes pose a single point of failure risk and are difficult to meet the scalability, real-time performance, and privacy protection requirements of large-scale systems. Therefore, research on distributed control theory with inherent security and resilience has become a key prerequisite and academic frontier for ensuring the reliable and trustworthy deployment of such systems. "Safety" aims to ensure that the state and behavior of the system remain within a predefined safety set throughout its entire operation process (such as avoiding collisions and maintaining a stable operating range), which requires seamlessly embedding hard constraints into distributed decision-making and collaborative control laws. ""Resilience"" emphasizes the system's ability to maintain core functionality, dynamically adapt, and quickly recover performance after encountering failures, attacks, or sudden disturbances. Safety and resilience complement each other: safety control is the fundamental guarantee of resilience, while resilience mechanisms are a necessary extension to cope with unknown threats and maintain long-term safety. This special session aims to bring together research forces from multiple disciplines such as control theory, robotics, network security, and artificial intelligence, focusing on the aforementioned challenges, and providing a high-level exchange platform for theoretical innovation, algorithm design, simulation verification, and experimental application of distributed security and resilience control.
·  自主多智能体系统，如自动驾驶车队、无人机集群、分布式机器人网络和智能电网，正成为推动未来智能产业与社会的核心引擎。这些系统通过个体间的感知、通信与协同，能够完成远超单体能力的复杂任务，展现出巨大的应用潜力。然而，其分布式、网络化与自主性的特点，也引入了前所未有的安全与可靠性挑战。在开放、动态且可能敌意的环境中，系统不仅需应对内部的传感器噪声、执行器故障与通信延迟，更需抵御外部的网络攻击、信息篡改与物理干扰。传统基于中心节点的控制架构存在单点失效风险，且难以满足大规模系统在扩展性、实时性与隐私保护方面的需求。因此，研究具有内生安全与韧性的分布式控制理论，已成为确保此类系统能够可靠、可信部署的关键前提与学术前沿。 “安全”旨在确保系统在运行全过程中，其状态与行为始终处于预先定义的安全集合内（如避免碰撞、维持稳定运行区间），这需要将硬性约束无缝嵌入到分布式决策与协同控制律中。“韧性”则强调系统在遭遇故障、攻击或突发扰动后，维持核心功能、动态适应并快速恢复性能的能力。安全与韧性相辅相成：安全控制是韧性的基础保障，而韧性机制又是应对未知威胁、维持长期安全的必要延伸。 本专题会议旨在汇聚控制理论、机器人学、网络安全、人工智能等多学科的研究力量，聚焦以上挑战，为分布式安全与韧性控制的理论创新、算法设计、仿真验证与实验应用提供一个高水平的交流平台。