同济大学
导师风采
孟敏
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  • 教授
  • 导师类别:硕士,博士生导师
  • 性别: 女
  • 学历:博士研究生
  • 学位:博士

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  • 所属院系:电子与信息工程学院
  • 所属专业: 控制科学与工程  、 智能科学与技术
  • 邮箱 : mengmin@tongji.edu.cn
  • 工作电话 : -

个人简介

Personal Profile

孟敏,同济大学电子与信息工程学院和上海自主智能无人系统科学中心教授、博导。于2015年获得山东大学数学学院理学博士,2015年至2017年多次访问香港城市大学、香港大学,2017年至2020年在南洋理工大学做博士后。入选国家高层次青年人才计划、中国科协“青托”、上海市浦江人才计划、上海市领军人才,主持国家自然科学基金项目2项,获2023年中国自动化学会自然科学奖二等奖(第二位),2021年山东省科学技术奖自然科学奖二等奖(第二位),为中国自动化学会青年工作委员会、女科技工作者委员会委员, 担任国际期刊Journal of The Franklin Institute和Franklin Open编委(Associate Editor), 长期从事智能博弈与优化、分布式安全估计与控制、逻辑网络、机器学习以及在无人系统与机器人中应用研究。


  • 研究方向Research Directions
智能博弈与优化,多智能体安全控制与估计,布尔网络
2. 机电结构优化与控制 研究内容:在对机电结构进行分析和优化的基础上,运用控制理论进行结构参数的调整,使结构性能满足设计要求。1. 仿生结构材料拓扑优化设计, 仿生机械设计 研究内容:以仿生结构为研究对象,运用连续体结构拓扑优化设计理论和方法,对多相仿生结构(机构)材料进行2. 机电结构优化与控制 研究内容:在对机电结构进行分析和优化的基础上,运用控制理论进行结构参数的调整,使结构性能满足设计要求。1. 仿生结构材料拓扑优化设计, 仿生机械设计 研究内容:以仿生结构为研究对象,运用连续体结构拓扑优化设计理论和方法,对多相仿生结构(机构)材料进行整体布局设计。 整体布局设计。
项目情况
  • 国家自然科学基金面上项目,基于逻辑网络和反馈学习的双层混杂系统智能决策与调控, 2025.1-2028.12. (主持)
  • 国家自然科学基金青年科学基金项目,网络攻击下逻辑网络的安全状态估计与决策, 2022.1-2024.12. (主持)
  • 中国科协青年人才托举工程, 2021-2023. (主持)
  • 上海市浦江人才计划,有限值网络的安全控制, 2021.10-2023.9. (主持)
  • 上海市发展与改革委员会,上海市市级科技重大专项,“人工智能前沿基础理论与关键技术—自主智能无人系统”项目二,2020.12-2023. (参与)
  • 上海市科学技术委员会,先导项目,19511132100,多智能体系统自主协同的基础理论与方法.(参与)


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科研项目
    • 国家自然科学基金面上项目,基于逻辑网络和反馈学习的双层混杂系统智能决策与调控, 2025.1-2028.12. (主持)
  •      国家自然科学基金青年科学基金项目,网络攻击下逻辑网络的安全状态估计与决策, 2022.1-2024.12. (主持)
  •      中国科协青年人才托举工程, 2021-2023. (主持)
  •     上海市浦江人才计划,有限值网络的安全控制, 2021.10-2023.9. (主持)
  •     上海市发展与改革委员会,上海市市级科技重大专项,“人工智能前沿基础理论与关键技术—自主智能无人系统”项目二,2020.12-2023. (参与)
  •     上海市科学技术委员会,先导项目,19511132100,多智能体系统自主协同的基础理论与方法.(参与)


部分成果

Lin Lin, James Lam, Min Meng, Xiaochen Xie, Panshuo Li, Daotong Zhang, and Peng Shi. Stabilization of Continuous-Time Probabilistic Logical Networks Under Sampling Dwell Time Constraints, SIAM Journal on Control and Optimization, vol. 62, no. 2, pp. 1006-1033, 2024.

Zhenghao Hu, Xiuxian Li, Min Meng and Shiyu Zhao. A Game Theoretic Method for Two-Team Multi-Player Autonomous Racing. IEEE Robotics and Automation Letters, vol. 9, no.9, pp. 7581-7588, Sep. 2024.

Rui Yu, Min Meng, Li Li, Qingyun Yu. Distributed learning for online multi-cluster games over directed graphs. Neurocomputing, vol. 603, p. 128213, 2024

Daizhan Cheng, Min Meng, Xiao Zhang, Zhengping Ji. Compound product of hypermatrices. Journal of Systems Science & Complexity, vol. 37, no. 1, pp. 169-183, 2024.

Min Meng, Xiuxian Li, and Jie Chen. Decentralized Nash equilibria learning for online game with bandit feedback, IEEE Transactions on Automatic Control, 2023, DOI: 10.1109/TAC.2023.3342850.

Qianyao Wang, Rui Yu, and Min Meng*. Asynchronous distributed nonlinear estimation over directed networks, IEEE Transactions on Network Science and Engineering, 2023, DOI: 10.1109/TNSE.2023.3336921.

Rui Yu, Min Meng*, and Li Li. Distributed online learning for leaderless multi-cluster games in dynamic environments, IEEE Transactions on Control of Network Systems, 2023, DOI: 10.1109/TCNS.2023.3339304.

Hui Zhao, Min Meng, Xiuxian Li, Qingyun Yu, Li Li, Stephane Galland. The development of automated driving in China: a comparison to Germany regarding the government policies, laws and regulations, and industries, Transportation Letters, 2023, DOI: 10.1080/19427867.2023.2238467.

Xiuxian Li, Min Meng*, Yiguang Hong, and Jie Chen. A survey of decision making in adversarial games, Science China Information Sciences, vol. 64, no. 4, p. 141201, April 2024.

Rui Yu, Min Meng, Li Li*. Event-triggered distributed Nash equilibrium seeking over directed graphs and its application to power management, Journal of the Franklin Institute, vol.360, no. 17, pages 13261-13283, Nov. 2023.

Xiuxian Li, Min Meng, Lihua Xie*. DOT and DOP: Linearly convergent algorithms for finding fixed points of multi-agent operators. IEEE Transactions on Automatic Control, 2023, DOI: 10.1109/TAC.2023.3312137.

Daizhan Cheng, Min Meng, Xiao Zhang, Zhengping Ji. Contracted product of hypermatrices via STP of matrices, Control Theory and Technology, vol. 21, pp. 265-280, 2023.Min Meng, Xiuxian Li. On the linear convergence algorithm of distributed Nash Equilibrium seeking for multi-cluster games. Automatica, vol. 51, p. 110919, May 2023.

Haihua Guo, Min Meng, and Gang Feng. Lyapunov-based output containment control of heterogenous multi-agent systems with Markovian switching topologies and distributed delays, IEEE/CAA Journal of Automatica Sinica, vol.10, no. 5, pp. 1-13, May 2023.
Yilian Li, Jun-e Feng, Min Meng, and Jiandong Zhu. Finite-time disturbance decoupling of Boolean control networks, IEEE Transactions on Systems, Man, and Cybernetics: Systems, DOI: 10.1109/TSMC.2022.3223064, 2022.
Qianyao Wang and Min Meng. Distributed nonlinear estimation over time-varying directed networks, Information Sciences, vol. 620, pp. 47-66, Jan. 2023.
Haihua Guo, Min Meng, Gang Feng. Mean square leader-following consensus of heterogeneous multi-agent systems with Markovian switching topologies and communication delays, International Journal of Robust and Nonlinear Control. Vol. 33, no. 1, pp. 355-371, Jan. 2023.
Min Meng, Li Li. Stability and pinning stabilization of Markovian jump Boolean networks, IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 69, no. 8, pp. 3565-3569, April 2022.
Min Meng, Xiuxian Li. Aug-PDG: Linear convergence of convex optimization with inequality constraints. 控制理论与应用,vol. 39, no. 10, pp. 1969-1977, Oct. 2022.
Xinran Li, Kuo-Yi Lin, Min Meng, Xiuxian Li, Li Li, Yiguang Hong, and Jie Chen. A survey of ADAS perceptions with development in China, IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 9, pp. 14188-14203, 2022.
Yongyuan Yu, Min Meng, Jun-e Feng*, Ge Chen. Observability criteria for Boolean networks.  IEEE Transactions on Automatic Control, vol. 67, no. 11, Nov. 2022.
Min Meng, Gaoxi Xiao. State distribution of Markovian jump Boolean networks and its applications. IEEE Transactions on Automatic Control, vol. 68, no. 3, pp. 1815-1822, Mar. 2023.
Min Meng, Gaoxi Xiao, Daizhan Cheng. Self-triggered scheduling for Boolean control networks. IEEE Transactions on Cybernetics, vol. 52, no. 8, pp. 8911-8921, Sep. 2022.
Min Meng, Xiuxian Li, Gaoxi Xiao. Distributed estimation under sensor attacks: Linear and nonlinear measurement models. IEEE Transactions on Signal and Information Processing over Networks, vol. 7, pp. 156-165, 29 Jan. 2021.
Guangyu Jia, Min Meng, James Lam, Jun-e Feng. Further results for pinning stabilization of Boolean networks. IEEE Transactions on Control of Network Systems, vol. 8, no. 2. pp. 897-905, June 2021.
Min Meng, Xiuxian Li. Distributed nonlinear estimation over unbalanced directed networks. IEEE Transactions on Signal Processing, vol. 68, pp. 6212-6223, Oct. 2020.
Min Meng, Gaoxi Xiao, Beibei Li. Adaptive consensus for heterogeneous multi-agent systems under sensor and actuator attacks. Automatica, vol. 122, pp. 109242, 2020.
Min Meng, Gaoxi Xiao, Chao Zhai, Guoqi Li, Zhen Wang. Distributed consensus of heterogeneous multi-agent systems subject to switching topologies and delays. Journal of The Franklin Institute, vol. 357, pp. 6899-6917, July 2020.
Min Meng, Xiuxian Li, Gaoxi Xiao, Synchronization of networks over finite fields, Automatica, vol. 115, pp. 108877, May 2020.
Min Meng, Gaoxi Xiao, Chao Zhai, Guoqi Li. Controllability of Markovian jump Boolean control networks. Automatica, vol. 106, pp. 70-76, Aug. 2019.           
Min Meng, James Lam, Jun-e Feng, Kie Chung Cheung. Stability and stabilization of Boolean networks with stochastic delays. IEEE Transactions on Automatic Control, vol. 64, no. 2, pp. 790-796, Feb. 2019.
Min Meng, Lu Liu, Gang Feng. Adaptive output regulation of heterogeneous multi-agent systems under Markovian switching topologies. IEEE Transactions on Cybernetics, vol. 48, no. 10, pp. 2962-2971, Oct. 2018.
Min Meng, James Lam, Jun-e Feng, Kie Chung Cheung. Stability and guaranteed cost analysis of time-triggered Boolean networks. IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 8, pp. 3893-3899, Aug. 2018.
Min Meng, Lu Liu, Gang Feng. Output consensus for heterogeneous multi-agent systems with Markovian switching network topologies. International Journal of Robust and Nonlinear Control, vol. 28, no. 23, pp. 1049-1061, Feb. 2018. 

Min Meng, Lu Liu, Gang Feng. Stability and l1 gain analysis of Boolean networks with Markovian jump parameters. IEEE Transactions on Automatic Control, vol. 62, no. 8, pp. 4222-4228, Aug. 2017.
Min Meng, James Lam, Jun-e Feng, Xudong Zhao, Xiaoming Chen. Exponential stability analysis and l1 synthesis of positive T-S fuzzy systems with time-varying delays. Nonlinear Analysis: Hybrid Systems, vol. 24. pp. 186-197, May 2017.
Min Meng, James Lam, Jun-e Feng, Xiuxian Li. l1-gain analysis and model reduction problem for Boolean control networks. Information Sciences, vol. 348, pp. 68-83, Jun. 2016. 


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