北京航空航天大学导师教师信息介绍简介-孟德元

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个人简历

孟德元，男，现为北京航空航天大学自动化科学与电气工程学院智能系统与控制工程系教授、博士生导师。主要研究领域包括迭代学习控制及网络系统控制等，发表（含已录用）相关学术论文100余篇、申请国家发明专利10余项以及主持国家自然科学基金、北京市自然科学基金等科研项目10余项等。此外，先后承担《线性系统设计》、《现代控制理论》和《自动控制原理B》等课程的教学工作。

教育经历

工作经历

社会兼职

[1]Chinese Control Conference (CCC), Program Committee Member
[2]IEEE Data Driven Control and Learning Systems Conference (DDCLS), Editorial Chair
[3]中国自动化学会数据驱动控制、学习与优化专业委员会, 委员、副秘书长
[4]中国人工智能学会智能空天系统专业委员会,?委员、副秘书长

研究方向

[1] 迭代学习控制

[2] 网络系统控制

联系方式

[1]Email：

研究领域

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[1] 迭代学习控制
[2] 网络系统控制

科研项目

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[1] 迭代学习控制方法与理论分析
[2] 非线性系统的数据驱动迭代学习控制及其在康复机器人中的应用
[3] 非重复系统的鲁棒迭代学习控制及其在多智能体系统中的应用
[4] 网络化复杂多智能体系统的跨尺度协调控制
[5] 随机迭代依赖不确定系统的鲁棒学习控制
[6] 复杂多智能体系统的分布式学习控制

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代表性论文

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[1] D. Meng*, M. Du, and Y. Wu, “Extended structural balance theory and method for cooperative-antagonistic networks,” IEEE Transactions on Automatic Control, to appear, DOI: 10.1109/TAC.2019.**.
[2] D. Meng, “Dynamic distributed control for networks with cooperative-antagonistic interactions,” IEEE Transactions on Automatic Control, vol. 63, no. 8, pp. 2311-2326, Aug. 2018.
[3] D. Meng* and K. L. Moore, “Robust iterative learning control for nonrepetitive uncertain systems,” IEEE Transactions on Automatic Control, vol. 62, no. 2, pp. 907-913, Feb. 2017.
[4] D. Meng*, M. Du, and Y. Jia, “Interval bipartite consensus of networked agents associated with signed digraphs,” IEEE Transactions on Automatic Control, vol. 61, no. 12, pp. 3755-3770, Dec. 2016.
[5] D. Meng* and Y. Jia, “Scaled consensus problems on switching networks,” IEEE Transactions on Automatic Control, vol. 61, no. 6, pp. 1664-1669, Jun. 2016.
[6] D. Meng*, Y. Jia, J. Du, and S. Yuan, “Robust discrete-time iterative learning control for nonlinear systems with varying initial state shifts,” IEEE Transactions on Automatic Control, vol. 54, no. 11, pp. 2626-2631, Nov. 2009.
[7] D. Meng*, Z. Meng, and Y. Hong, “Uniform convergence for signed networks under directed switching topologies,” Automatica, vol. 90, pp. 8-15, Apr. 2018.
[8] D. Meng, “Bipartite containment tracking of signed networks,” Automatica, vol. 79, pp. 282-289, May 2017.
[9] D. Meng* and K. L. Moore, “Convergence of iterative learning control for SISO nonrepetitive systems subject to iteration-dependent uncertainties,” Automatica, vol. 79, pp. 167-177, May 2017.
[10] D. Meng* and K. L. Moore, “Robust cooperative learning control for directed networks with nonlinear dynamics,” Automatica, vol. 75, pp. 172-181, Jan. 2017.
[11] D. Meng* and K. L. Moore, “Learning to cooperate: Networks of formation agents with switching topologies,” Automatica, vol. 64, pp. 278-293, Feb. 2016.
[12] D. Meng*, Y. Jia, J. Du, and J. Zhang, “On iterative learning algorithms for the formation control of nonlinear multi-agent systems,” Automatica, vol. 50, no. 1, pp. 291-295, Jan. 2014.
[13] D. Meng*, Z. Meng, and Y. Hong, “Disagreement of hierarchical opinion dynamics with changing antagonisms,” SIAM Journal on Control and Optimization, vol. 57, no. 1, pp. 718-742, Jan. 2019.
[14] J. Zhang and D. Meng*, “Convergence analysis of saturated iterative learning control systems with locally Lipschitz nonlinearities,” IEEE Transactions on Neural Networks and Learning Systems, to appear, DOI: 10.1109/TNNLS.2019.**.
[15] D. Meng, “Convergence conditions for solving robust iterative learning control problems under nonrepetitive model uncertainties,” IEEE Transactions on Neural Networks and Learning Systems, vol. 30, no. 6, pp. 1908-1919, Jun. 2019.
[16] D. Meng* and J. Zhang, “Deterministic convergence for learning control systems over iteration-dependent tracking intervals,” IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 8, pp. 3885-3892, Aug. 2018.
[17] D. Meng*, Y. Jia, and J. Du, “Finite-time consensus for multiagent systems with cooperative and antagonistic interactions,” IEEE Transactions on Neural Networks and Learning Systems, vol. 27, no. 4, pp. 762-770, Apr. 2016.
[18] D. Meng*, Y. Jia, and J. Du, “Robust consensus tracking control for multiagent systems with initial state shifts, disturbances, and switching topologies,” IEEE Transactions on Neural Networks and Learning Systems, vol. 26, no. 4, pp. 809-824, Apr. 2015.
[19] D. Meng*, Y. Jia, J. Du, and F. Yu, “Tracking algorithms for multiagent systems,” IEEE Transactions on Neural Networks and Learning Systems, vol. 24, no. 10, pp. 1660-1676, Oct. 2013.
[20] D. Meng*, Y. Jia, J. Du, and F. Yu, “Data-driven control for relative degree systems via iterative learning,” IEEE Transactions on Neural Networks, vol. 22, no. 12, pp. 2213-2225, Dec. 2011.

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专利成果

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[1]受噪声污染的移动机器人系统及其协调控制方法
[2]移动机器人系统及其在混合交互环境下的协调控制算法
[3]多机器人手臂系统的自适应协调控制方法
[4]多移动机器人系统的协调控制方法
[5]移动机器人及多移动机器人的协调控制方法

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当前位置: 中文主页 >> 学术报告

[1]Invited report on the 5th Data Driven Control and Learning Systems Conference, “Iterative Learning Control and Its Application to Multi-Agent Networks,” Yinchuan, China, 2016.5.31
[2]Session report on the American Control Conference, “Formation Learning Algorithms for Mobile Agents Subject to 2-D Dynamically Changing Topologies,” Washington, DC, USA, 2013.6.19

荣誉及奖励

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[1]IEEE 7th DDCLS, "Best Paper Award"
[2]入选北京航空航天大学“青年拔尖人才支持计划”
[3]运动座载设备协调控制关键技术及应用（技术发明奖一等奖）

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