Complex Network and Control Lab

实验室简介About the Lab

复杂网络与控制实验室聚焦于复杂系统建模、网络动力学分析与智能控制理论， 致力于推动复杂网络在工程系统、信息系统与智能无人系统中的交叉应用。 实验室结合理论研究与工程实践，开展前沿基础研究与应用探索。

The Complex Network and Control Lab focuses on complex system modeling, network dynamics analysis and intelligent control theory. We promote interdisciplinary applications of complex networks in engineering systems, information systems and intelligent unmanned systems, combining theoretical research with engineering practice.

研究方向概览Research Overview

无人机集群与无人系统UAV Swarms and Unmanned Systems

研究集群自主协同控制、任务规划与编队飞行等关键问题， 探索通信受限与对抗环境下的集群智能涌现与安全控制方法。

We study autonomous cooperative control, mission planning and formation flight of UAV swarms, exploring swarm intelligence emergence and safe control under communication constraints and adversarial environments.

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大规模调度与智能仓储Large-Scale Scheduling and Intelligent Warehousing

研究多资源约束下的组合优化建模与智能调度算法， 探索数据驱动的实时调度与仓储机器人协同控制。

We study combinatorial optimization modeling and intelligent scheduling algorithms under multi-resource constraints, exploring data-driven real-time scheduling and cooperative control of warehouse robots.

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复杂网络控制与多智能体系统Complex Network Control and Multi-Agent Systems

研究网络结构、动力学与控制之间的内在关联， 发展分布式协同与牵制控制理论，解决大规模互联系统的鲁棒协同问题。

We investigate the intrinsic relations among network structure, dynamics and control, developing distributed cooperation and pinning control theory to achieve robust coordination of large-scale interconnected systems.

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实验室新闻Lab News

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