研究方向Research Fields

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

面向无人机集群的自主协同控制、任务规划与编队飞行等关键问题, 研究通信受限与对抗环境下的集群智能涌现机理、分布式决策与安全控制方法, 推动无人系统在侦察、运输与应急救援等场景中的工程应用。

Focusing on key problems such as autonomous cooperative control, mission planning and formation flight of UAV swarms, we investigate the mechanisms of swarm intelligence emergence, distributed decision-making and safe control under communication constraints and adversarial environments, advancing engineering applications of unmanned systems in reconnaissance, transportation and emergency response.

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UAV Swarms
MAPPO 集群编队避障

集群智能决策与编队避障Swarm Decision-Making and Formation Obstacle Avoidance

针对复杂环境下无人机集群的自主编队与避障控制,提出基于 MAPPO 的“集中训练—分布执行”框架, 融合无人机状态与激光雷达信息实现集群统一调度,三维环境避障平均成功率达 94%,显著优于传统 PPO 方法。

For autonomous formation and obstacle avoidance of UAV swarms in complex environments, we propose a MAPPO-based centralized-training decentralized-execution framework that fuses UAV states with LiDAR data for unified swarm scheduling, achieving an average obstacle-avoidance success rate of 94% in 3D environments, markedly outperforming conventional PPO.

GNSS 拒止集群搜索

GNSS 拒止环境下的协同搜索与建图Cooperative Search and Mapping in GNSS-Denied Environments

面向导航卫星信号缺失场景,构建多向视觉融合感知建图与基于目标可视的运动规划方法, 无 GPS 条件下 8 机集群搜索成功率约 75%,动态目标追踪可视时间占比达 96%,定位精度 1.49m。

For GNSS-denied scenarios, we develop multi-directional vision-fused perception mapping and target-visibility-based motion planning; with 8 GPS-free UAVs, the swarm search success rate reaches about 75%, target visibility time ratio reaches 96%, and localization accuracy reaches 1.49 m.

光纤制导无人机

光纤制导与抗干扰飞行控制Fiber-Optic Guidance and Anti-Jamming Flight Control

研发 SKP 系列光纤制导无人机(战术四旋翼、多功能四旋翼与固定翼),摆脱无线电依赖、不受电磁干扰影响, 已在反恐特警等实战场景应用;水空两栖无人机实现水面出入与水下远距离通信。

We develop the SKP series of fiber-optic guided UAVs (tactical quadcopter, multi-function quadcopter and fixed-wing), free from radio dependence and immune to electromagnetic interference, already deployed in counter-terrorism and other field scenarios; amphibious UAVs enable water entry/exit and long-range underwater communication.

空地一体化集群控制系统

空地一体化集群控制系统Air-Ground Integrated Swarm Control System

自主构建涵盖地面指控、任务调度、通信中继与空中自治执行的空地一体化集群控制系统, 支持异构平台接入与多算法并行部署;三机协同探索任务成功率超 90%,6-7 级强风下仍能稳定协同。

We build an air-ground integrated swarm control system covering ground command, task scheduling, communication relay and airborne autonomous execution, supporting heterogeneous platforms and parallel algorithm deployment; three-UAV cooperative exploration achieves over 90% success and remains stable in force 6-7 winds.

代表性成果Representative Publications

  • J. Deng, L. Wang and Z. Liu, "Attitude Synchronization and Rigid Formation of Multiple Rigid Bodies over Proximity Networks," Automatica, 125: 109388, 2021.
  • Z. Liu, L. Wang, D. Dong and J. S. Baras, "Stable Consensus Decision Making for Spatially Distributed Multiagent Systems with Multiple Leaders," SIAM Journal on Control and Optimization, 58(3): 1626-1651, 2020.
  • H. Su, X. F. Wang and Z. Lin, "Flocking of multi-agents with a virtual leader," IEEE Transactions on Automatic Control, 54(2): 293-307, 2009.

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

围绕大规模作业调度与智能仓储系统的优化运行, 研究多资源约束下的组合优化建模、智能调度算法与仓储机器人协同控制方法, 探索数据驱动的实时调度与库存协同决策,提升物流系统的自动化与智能化水平。

Centered on the optimal operation of large-scale scheduling and intelligent warehousing systems, we study combinatorial optimization modeling under multi-resource constraints, intelligent scheduling algorithms, and cooperative control of warehouse robots, exploring data-driven real-time scheduling and integrated inventory decisions to enhance the automation and intelligence of logistics systems.

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Intelligent Warehousing
仓储物流机器人测试环境

大规模实时调度与任务分配Large-Scale Real-Time Scheduling and Task Allocation

针对多任务、多场景及作业插入、修改、故障、取消等动态扰动,构建数据驱动与深度强化学习相结合的混合分层调度策略搜索模型, 精准描述异构、变尺寸机器人运动模型,突破系统死锁与不可控涌现难题,实现秒级千台调度能力。

For dynamic disturbances such as task insertion, modification, failure and cancellation, we build a hybrid hierarchical scheduling policy search model combining data-driven methods with deep reinforcement learning, accurately describing heterogeneous and variable-size robot motion models, overcoming deadlock and uncontrollable emergent behaviors, and achieving thousand-robot scheduling within seconds.

订单柔性履约与联合优化Flexible Order Fulfillment and Joint Optimization

围绕“订单分配—料箱命中—机器人调度”的业务分解与联合决策建模,构建紧耦合与松耦合的柔性联合优化模型体系, 支撑机器人仓储系统大规模连续订单的实时与柔性履约。

Centered on the "order allocation - bin hitting - robot scheduling" decomposition and joint decision modeling, we build tightly- and loosely-coupled flexible joint optimization frameworks to support real-time and flexible fulfillment of massive continuous orders in robotic warehousing systems.

分布式能量优化Distributed Energy Optimization

面向移动边缘计算网络、多数据中心与多微电网,提出能量管理、任务迁移与带宽分配等联合优化算法, 兼顾电能成本、碳排放与服务质量约束,有效降低系统运行成本。

For mobile edge computing networks, multiple data centers and microgrids, we propose joint optimization algorithms for energy management, task migration and bandwidth allocation, balancing electricity cost, carbon emission and QoS constraints to effectively reduce operational costs.

代表性成果Representative Publications

  • G. Zhang, S. Zhang, W. Zhang, Z. Shen and L. Wang, "Joint Service Caching, Computation Offloading and Resource Allocation in Mobile Edge Computing Systems," IEEE Transactions on Wireless Communications, 20(8): 5288-5300, 2021.
  • G. Zhang, Z. Shen and L. Wang, "Online Energy Management for Microgrids with CHP Co-Generation and Energy Storage," IEEE Transactions on Control Systems Technology, 28(2): 533-541, 2020.
  • Y. Su and L. Wang, "Integrated Framework for Test and Evaluation of Autonomous Vehicles," Journal of Shanghai Jiao Tong University (Science), 26(5): 699-712, 2021.

在研项目Ongoing Projects

  • 国家重点研发计划课题:自主移动机器人集群大规模实时调度(2023YFB4706802)National Key R&D Program: Large-Scale Real-Time Scheduling of Autonomous Mobile Robot Clusters (2023YFB4706802)
  • 国家自然科学基金数学天元基金:机器人仓储系统订单柔性智能履约技术和方法(12426311)NSFC Tianyuan Fund: Technologies and Methods for Flexible Intelligent Order Fulfillment in Robotic Warehousing Systems (12426311)

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

以复杂网络和多智能体系统为对象,研究网络结构、动力学与控制之间的内在关联, 发展分布式协同控制、网络牵制控制与一致性理论, 解决大规模互联系统在不确定环境下的鲁棒协同与性能优化问题。

Taking complex networks and multi-agent systems as research objects, we investigate the intrinsic relations among network structure, dynamics and control, developing distributed cooperative control, network pinning control and consensus theory to address robust coordination and performance optimization of large-scale interconnected systems under uncertainties.

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Complex Network Visualization
网络科学导论

复杂网络结构与动力学分析Network Structure and Dynamics Analysis

面向大规模复杂网络,研究小世界、无标度等典型拓扑结构特征及其对网络同步、鲁棒性与级联失效行为的影响,揭示网络“结构—动力学—控制”之间的内在关联。

Focusing on large-scale complex networks, we study typical topological features such as small-world and scale-free properties and their effects on synchronization, robustness and cascading failures, revealing the intrinsic relations among network structure, dynamics and control.

Complex Network Visualization

分布式协同控制与一致性Distributed Cooperative Control and Consensus

研究多智能体系统在时变通信拓扑、传输时延与噪声干扰下的分布式一致性、编队控制与包含控制问题,设计仅依赖局部信息的协同控制协议。

We investigate distributed consensus, formation control and containment control of multi-agent systems under time-varying topologies, communication delays and noises, designing cooperative protocols based only on local information.

Pinning Control of Complex Networked Systems

网络牵制控制与簇同步Network Pinning Control and Cluster Synchronization

针对大规模动态网络的受控同步问题,研究牵制控制节点的选择策略、自适应牵制控制与簇同步控制方法,以少量控制输入实现全网协同。

For controlled synchronization of large-scale dynamical networks, we study pinning node selection strategies, adaptive pinning control and cluster synchronization methods, achieving network-wide coordination with limited control inputs.

网络化博弈与观点动力学Networked Games and Opinion Dynamics

研究社交网络中的观点形成、社会学习与演化博弈行为,建立异构置信与影响力条件下的观点动力学模型,揭示群体决策的涌现规律。

We study opinion formation, social learning and evolutionary game behaviors in social networks, establishing opinion dynamics models under heterogeneous confidence and influence to reveal emergent patterns of collective decision-making.

代表性成果Representative Publications

  • X. F. Wang and G. Chen, "Complex networks: topology, dynamics and synchronization," International Journal of Bifurcation and Chaos, 12(5): 885-916, 2002.
  • X. Li, X. F. Wang and G. Chen, "Pinning a complex dynamical network to its equilibrium," IEEE Transactions on Circuits and Systems I, 51(10): 2074-2087, 2004.
  • H. Su, X. F. Wang and Z. Lin, "Flocking of multi-agents with a virtual leader," IEEE Transactions on Automatic Control, 54(2): 293-307, 2009.
  • L. Wang and X. F. Wang, "New conditions for synchronization in dynamical communication networks," Systems & Control Letters, 60(4): 219-225, 2011.

学术成果与资源Publications & Resources

Pinning Control of Complex Networked Systems

Housheng Su, Xiaofan Wang, Pinning Control of Complex Networked Systems, Springer & SJTU Press, 2013.

Housheng Su, Xiaofan Wang, Pinning Control of Complex Networked Systems, Springer & SJTU Press, 2013.

网络科学导论

汪小帆、李翔、陈关荣,《网络科学导论》,高等教育出版社,2012。

Xiaofan Wang, Xiang Li, Guanrong Chen, Network Science: An Introduction, Higher Education Press, 2012.

Introduction to Complex Networks: Models, Structure and Dynamics

Guanrong Chen, Xiaofan Wang, Xiang Li, Introduction to Complex Networks: Models, Structure and Dynamics, Higher Education Press, 2012.

Guanrong Chen, Xiaofan Wang, Xiang Li, Introduction to Complex Networks: Models, Structure and Dynamics, Higher Education Press, 2012.

复杂网络理论及其应用

汪小帆、李翔、陈关荣,《复杂网络理论及其应用》,清华大学出版社,2006。

Xiaofan Wang, Xiang Li, Guanrong Chen, Complex Network Theory: Theory & Application, Qinghua University Press, 2006.

动力系统的混沌化

陈关荣、汪小帆,《动力系统的混沌化》,上海交通大学出版社,2006。

Guanrong Chen & Xiaofan Wang, Chaotification of Dynamical Systems, SJTU Press, 2006.

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  4. Liu, Q., Zhao, J., & Wang, X. (2015). Multi-agent model of group polarisation with biased assimilation of arguments. IET Control Theory & Applications, 9(3), 485-492.
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  31. Song, Q., & Wang, X. (2011). Efficient routing on large road networks using hierarchical communities. Intelligent Transportation Systems, IEEE Transactions on, 12(1), 132-140.
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  47. Zhou Xie, Xiang Li, Xiaofan Wang (2008), Weighted evolving networks with self-organizing communities, Communications in Theoretical Physics, 50(1), 261-266.
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  49. Li, W., & Wang, X. (2007). Adaptive velocity strategy for swarm aggregation. Physical Review E, 75(2), 021917.
  50. Guo, W. P., Li, X., & Wang, X. F. (2007). Epidemics and immunization on Euclidean distance preferred small-world networks. Physica A: Statistical Mechanics and its Applications, 380, 684-690.
  51. Xie, Z., Li, X., & Wang, X. F. (2007). A new community-based evolving network model. Physica A: Statistical Mechanics and its Applications, 384(2), 725-732.
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  56. Shang, L. H., & Wang, X. F. (2006). A modified evolutionary minority game with interactions. Dynamics of Continuous, Discrete and Impulsive Systems-A 13(3): 1390-1397.
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  70. Chen, L., Wang, X. F., & Han, Z. Z. (2004). Controlling bifurcation and chaos in Internet congestion control model. International Journal of Bifurcation and Chaos, 14(05), 1863-1876.
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  1. Qipeng Liu, Jiuhua Zhao, Lin Wang and Xiaofan Wang (2014). A multi-agent model of opinion formation with truth seeking and endogenous leaders, In Proc. of the 19th World Congress of the International Federation of Automatic Control, Cape Town, South Africa.
  2. Wen Yang, Ling Shi, Ye Yuan, Xiaofan Wang, and Hongbo Shi (2014). Network design for distributed consensus estimation over heterogeneous sensor networks. In Proc. of the 19th World Congress of the International Federation of Automatic Control, Cape Town, South Africa.
  3. Wen Yang, Xiaofan Wang, and Hongbo Shi (2014). Optimal control nodes selection for consensus in multi-agent systems. In Proc. of the 19th World Congress of the International Federation of Automatic Control, Cape Town, South Africa.
  4. Qipeng Liu and Xiaofan Wang (2013). Social learning with bounded confidence and probabilistic neighbors, In Proc. of 2013 IEEE International Symposium on Circuits and Systems, Beijing, 2303-2306.
  5. Wen Yang, Ying Wang, Xiaofan Wang, Hongbo Shi, and Linlin Ou (2012). Optimal follower selection strategy for multi-agent system with single leader. In Proc. of 51st IEEE Conference on Decision and Control, Dec 2012, Maui, Hawaii, USA, 2767-2772.
  6. Lidong He, Dongfang Han, Xiaofan Wang and Ling Shi (2012), State estimation over a lossy network using linear temporal coding. In Proc. of 51st IEEE Conference on Decision and Control, Dec 2012, Maui, Hawaii, USA, 2002-2007.
  7. Qipeng Liu and Xiaofan Wang (2012). Social learning in networks with time-varying topologies, In Proc. of 51st IEEE Conference on Decision and Control, Hawaii, USA, 1972-1977.
  8. Lin Wang, Xiaofan Wang, Xiaoming Hu (2011) Synchronization of multi-agent systems with topological interaction, Proc. of the 18th IFAC World Congress (IFAC), Milan, Italy, 28 Aug.-2 Sep.
  9. Lin Wang, Xiaofan Wang, and Xiaoming Hu (2011). Distributed coordination for connectivity-preserving flocking without velocity measurement. In Proc. of 8th Asian Control Conference, May 2011, Kaohsiung, 788-793.
  10. Qing Song, and Xiaofan Wang (2011). Partitioning graphs to speed up point-to-point shortest path computations. In Proc. of 50th IEEE Conference on Decision and Control and European Control Conference, Dec 2011, Orlando, FL, USA, 5299-5304.
  11. Wen Yang, Xiaofan Wang, and Hongbo Shi (2011). Optimal second order consensus protocol with time delay. In Proc. of 50th IEEE Conference on Decision and Control and European Control Conference, Dec 2011, Orlando, FL, USA, 3470-3475.
  12. Housheng Su, Xiaofan Wang, Zhihai Rong, and Guanrong Chen (2010). On decentralized adaptive pinning synchronization of complex dynamical networks. In Proc. of 2010 IEEE International Symposium on Circuits and Systems, Paris, 417-420.
  13. Housheng Su, Xiaofan Wang, and Zongli Lin (2009). Synchronization of coupled harmonic oscillators in a dynamic proximity network. In Proc. of 48th IEEE Conference on Decision and Control and 28th Chinese Control Conference, Dec 2009, Shanghai, China, 4985-4990.
  14. Housheng Su, Xiaofan Wang, Hairong Dong, and Guanrong Chen (2009). Flocking with multiple virtual leaders based on position measurements. In Proc. of 7th Asian Control Conference, Aug 2009, Hong Kong, 1156-1161.
  15. Zhihai Rong, Xiang Li, and Xiaofan Wang (2009). Dynamical organization of cooperation on homogeneous networked system. In Proc. of 2009 IEEE International Symposium on Circuits and Systems, May 2009, Taipei, 1617-1620.
  16. Qing Song, Xiaofan Wang, Xiaolei Li, and Chengjin Zhang (2009). Optimization of postal express mail network based on swarm intelligence. In Proc. of 48th IEEE Conference on Decision and Control and 28th Chinese Control Conference, Dec 2009, Shanghai, China, 591-596.
  17. Wen Yang, Andrea L. Bertozzi, and Xiaofan Wang (2008). Stability of a second order consensus algorithm with time delay. In Proc. of 47th IEEE Conference on Decision and Control, Dec 2008, Cancun, Mexico, 2926-2931.
  18. Housheng Su, Xiaofan Wang, and Zongli Lin (2007). Flocking of multi-agents with a virtual leader part I: with a minority of informed agents. In Proc. of 46th IEEE Conference on Decision and Control, Dec 2007, New Orleans, LA, USA, 2937-2942.
  19. Housheng Su, Xiaofan Wang, and Zongli Lin (2007). Flocking of multi-agents with a virtual leader part II: with a virtual leader of varying velocity. In Proc. of 46th IEEE Conference on Decision and Control, Dec 2007, New Orleans, LA, USA, 1429-1434.
  20. Jin Fan, Xiaofan Wang, and Xiang Li (2007). Enhancing Synchronizabilities of Power-Law Networks. In Proc. of 2007 IEEE International Symposium on Circuits and Systems, New Orleans, LA, 2642-2645.
  21. Jian Xu and Xiaofan Wang (2005). Cascading failures in scale-free coupled map lattices. In Proc. of 2005 IEEE International Symposium on Circuits and Systems, May 2005, Kobe, Japan, 3395-3398.
  22. Xiang Li, Hildegard Meyer-Ortmanns, and Xiaofan Wang (2005). Chaotic and periodic spreading dynamics in discrete small-world networks. In Proc. of 2005 IEEE International Symposium on Circuits and Systems, May 2005, Kobe, Japan, 280-283.
  23. Kai Jiang, Xiaofan Wang, and Yugeng Xi (2004). A robust RED algorithm based on time-delayed feedback control. In Proc. of 5th Asian Control Conference, July 2004, Melbourne, Victoria, Australia, 708-713.
  24. Yanxin Zhang and Xiaofan Wang (2004). A stable fuzzy adaptive control method for MIMO interconnected systems. In Proc. of 5th Asian Control Conference, July 2004, Melbourne, Victoria, Australia, 1861-1869.
  25. Kai Jiang, Xiaofan Wang, and Yugeng Xi (2004). Nonlinear analysis of RED - a comparative study. In Proc. of 2004 American Control Conference, June 2004, Boston, MA, USA, 2960-2965.
  26. Xiaofan Wang, Guanrong Chen, and Kim Fung Man (2001). Making a stable discrete-time system chaotic via small-amplitude output feedback. In Proc. of 2001 IEEE International Symposium on Circuits and Systems, May 2001, Sydney, NSW, 541-544.
  27. Xiaofan Wang and Guanrong Chen (2001). Controlling bifurcating dynamics via chaotification. In Proc. of 40th IEEE Conference on Decision and Control, Dec 2001, Orlando, FL, USA, 692-697.