个人简介
葛明峰，副系主任，副教授，硕士生导师，地大学者——青年优秀人才计划
IEEE Member、TCCT Member（http://tcct.amss.ac.cn/group/mac.html）
主页：https://www.researchgate.net/profile/Ming_Feng_Ge
地址：中国地质大学机械与电子信息学院337室430074
E-mail：gemf@cug.edu.cn
学习与工作经历
2018.07~，中国地质大学，机电学院，机械工程系，副系主任
2017.02~，中国地质大学，机电学院，机械工程系，副教授
2016.02~2016.03，神户大学，罗志伟教授机器人实验室，学术交流
2010.09~2016.09，华中科技大学自动化学院，控制科学与工程，工学博士
2008.07~2009.10，武汉市凯迪电力工程有限公司，工程部，工程师
2004.09~2008.06，华中科技大学控制科学与工程系，自动化专业，工学学士
科研情况
[1] 在机器人、自动控制和人工智能领域具有国际影响力的期刊和会议发表论文40余篇，其中SCI收录源期刊论文31篇; 受
邀撰写Springer专著章节1章
[2] 与意大利米兰理工、澳大利亚RMIT、华中科技大学、东南大学、韩国岭南大学、新加坡南洋理工大学等机构多名知名
学者保持紧密合作关系
[3] IEEE Transactions on Automatic Control、Automatica、IEEE Transactions on Cybernetics等国际期刊审稿人
研究方向
[1] 机器人运动学与动力学分析、机器人视觉控制、多机器人智能控制
[2] 神经网络、模糊计算等人工智能算法在机器人智能控制中的应用
[3] Human-in-the-loop遥操作机器人的先进控制算法设计
科研项目
[1] 国基金青年项目，基于人机协作的异质多智能体网络的协同控制，61703374，在研，主持
[2] 中央高校科研专项，基于Human-in-the-loop的多机器人系统运动控制，CUG170656，在研，主持
[3] 中国博士后基金第66批面上项目，多机器人分层控制理论，在研，主持
[4] 973项目子课题，肢体运动谱的机械创成与运动分治，2011CB013301，已结题，参与
代表性论文
[1] Ming-Feng Ge,et al. Impulsive control of multi-agent systems with partial information. In: Tian Y.C., Levy D. (Eds)
Handbook of Real-Time Computing. Springer, doi: 10.1007/978-981-4585-87-3_18-1.
[2] Ming-Feng Ge, et al. Distributed controller-estimator for target tracking of networked robotic systems under sampled
interaction. Automatica, 2016, 69: 410-417. (IF: 6.355)
[3] Ming-Feng Ge, et al. Hierarchical controller-estimator for coordination of networked Euler-Lagrange systems. IEEE
Transactions on Cybernetics, 2019, doi: 10.1109/TCYB.2019.2914861. (IF: 10.387)
[4] Teng-Fei Ding, Ming-Feng Ge*, et al. Discrete-communication-based bipartite tracking of networked robotic systems via
hierarchical hybrid control. IEEE Transactions on Circuits and Systems I: Regular Papers, 2019,
doi: 10.1109/TCSI.2019.2961804. (IF: 3.934)
[5] Chang-Duo Liang, Ming-Feng Ge*, et al. Output multi-formation tracking of networked heterogeneous robotic systems via
finite-time hierarchical control. IEEE Transactions on Cybernetics, 2020, Accepted. (IF: 10.387)
[6] Leimin Wang, Haibo He, Zhigang Zeng, Ming-Feng Ge. Model-independent formation tracking of multiple Euler-Lagrange
systems via bounded inputs. IEEE Transactions on Cybernetics, 2019, doi: 10.1109/TCYB.2019.2938398. (IF: 10.387)
[7] Zhongxu Hu, Yan Wang, Ming-Feng Ge, Jie Liu. Data-driven fault diagnosis method based on compressed sensing and
improved multi-scale network. IEEE Transactions on Industrial Electronics, 2020, 67(4): 3216-3225.(IF: 7.503)
[8] Leimin Wang, Zhigang Zeng, Ming-Feng Ge. A disturbance rejection framework for finite-time and fixed-time stabilization of
delayed memristive neural networks. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019, doi:10.1109/TSMC.
2018.2888867. (IF: 7.351)
[9] Ming-Feng Ge, et al. Coordinated tracking for networked robotic systems via model-free controller-estimator algorithms.
Journal of the Franklin Institute, 2017, 354(13): 5646-5666. (IF: 3.653)
[10] Ming-Feng Ge, et al. Task-space coordinated tracking of multiple heterogeneous manipulators via controller-estimator
approaches. Journal of the Franklin Institute, 2016, 353: 3722-3738. (IF: 3.653)
[11] Ming-Feng Ge, et al. Time-varying formation tracking of multiple manipulators via distributed finite-time control.
Neurocomputing, 2016, 202: 20-26. (IF: 4.072)
[12] Teng-Fei Ding, Ming-Feng Ge*, et al. Bipartite consensus for networked robotic systems with quantized-data interactions.
Information Sciences, 2020, 511: 229-242. (IF: 5.524)
[13] Chang-Duo Liang, Leimin Wang, Xiang-Yu Yao, Zhi-Wei Liu, Ming-Feng Ge*. Multi-target tracking of networked
heterogeneous collaborative robots in task space. Nonlinear Dynamics, 2019, 97(2): 1159-1173. (IF: 4.604)
[14] Xiang-Yu Yao, Hua-Feng Ding, Ming-Feng Ge*. Task-space tracking control of multi-robot systems with disturbances and
uncertainties rejection capability. Nonlinear Dynamics, 2018, 92(4): 1649-1664. (IF: 4.604)
[15] Xiang-Yu Yao, Huafeng Ding, Ming-Feng Ge*. Synchronization control for multiple heterogeneous robotic systems with
parameter uncertainties and communication delays. Journal of the Franklin Institute, 2019, 356(16): 9713-9729. (IF: 3.653)
[16] Xiang-Yu Yao, Hua-Feng Ding, Ming-Feng Ge*. Fully distributed control for task-space formation tracking of nonlinear
heterogeneous robotic systems. Nonlinear Dynamics, 2019, 96(1): 87-105. (IF: 4.604)
[17] Min Li, Caohui Mao, Ming-Feng Ge*, Jinqiang Gan. Data-driven iterative feedforward control with rational parametrization: a
chieving optimality for varying tasks. Journal of the Franklin Institute, 2019, 356(12): 6352-6372. (IF: 3.653)
[18] Juan-Juan He, Ya-Qi Lin, Ming-Feng Ge*, et al. Adaptive finite-time cluster synchronization of neutral-type coupled neural
networks with mixed delays. Neurocomputing, 2019, doi: 10.1016/j.neucom.2019.11.046.
[19] Jinqiang Gan, Zhen Mei, Xiaoli Chen, Ye Zhou, Ming-Feng Ge*. A modified Duhem model for rate-dependent hysteresis
behaviors. Micromachines, 2019, 10(10), 680. (IF: 2.426)
[20] Leimin Wang, Ming-Feng Ge, et al. Finite-time robust consensus of nonlinear disturbed multiagent systems via two-layer
event-triggered control. Information Sciences, 2018, 466: 270-283. (IF: 5.524)
[21] Leimin Wang, Ming-Feng Ge, et al. Global stability and stabilization for inertial memristive neural networks with unbounded
distributed delays. Nonlinear Dynamics, 2019, 95(2): 943-955. (IF: 4.604)
[22] Xiang-Yu Yao, Hua-Feng Ding, Ming-Feng Ge, Ju H. Park. Event-triggered synchronization control of networked Euler-
Lagrange systems without requiring relative velocity information. Information Sciences, 2020, 508: 183-199. (IF: 5.524)
[23] Xiang-Yu Yao, Hua-Feng Ding, Ming-Feng Ge. Formation-containment control for multi-robot systems with two-layer
leaders via hierarchical controller-estimator algorithms. Journal of the Franklin Institute, 2018, 355(12): 5272-5290. (IF: 3.653)
[24] Leimin Wang, Zhigang Zeng, Ming-Feng Ge,et al. Global stabilization analysis of inertial memristive recurrent neural
networks with discrete and distributed delays. Neural Networks, 2018, 105, 65-74. (IF: 5.789)
[25] Leimin Wang, Tiandu Dong, Ming-Feng Ge. Finite-time synchronization of memristor chaotic systems and its application in
image encryption.Applied Mathematics and Computation, 2019, 347: 293-305. (IF: 3.092)
[26] Zhi-Wei Liu, Xiong Hu, Ming-Feng Ge, Yan-Wu Wang. Asynchronous impulsive control for consensus of second-order
multi-agent networks.Communications in Nonlinear Science and Numerical Simulation, 2019, 79: 104892. (IF: 3.967)
[27] Leimin Wang, Xiaofeng Zong, Zhigang Zeng, Ming-Feng Ge. Finite-time stabilization of memristor-based inertial neural
networks with discontinuous activations and distributed delays. Journal of the Franklin Institute, 2019, 356(6): 3628-3643.
[28] Xiao-Wei Jiang, Xiang-Yong Chen, Ming Chi, Ming-Feng Ge. Optimal performance of LTI systems over power constrained
erasure channels. Information Sciences, 2020, 512: 327-337. (IF: 5.524)
[29] Jie Wu, Zhu-Jun Zhou, Xi-Sheng Zhan, Huai-Cheng Yan, Ming-Feng Ge. Optimal modified tracking performance for MIMO
networked control systems with communication constraints. ISA Transactions, 2017, 68: 14-21. (IF: 4.343)
[30] Jie Chen, Zhi-Hong Guan, Tao Li, Ding-Xue Zhang, Ming-Feng Ge, Ding-Fu Zheng. Multiconsensus of fractional-order
uncertain multi-agent systems. Neurocomputing, 2015, 168: 698-705. (IF: 4.072)
[31] Tao Jin, Zhi-Wei Liu,Hong Zhou, Ming-Feng Ge. Scale-based cluster formation for multi-agent systems with mismatched
disturbances. Journal of the Franklin Institute, 2019, 356(13): 7393-7410. (IF: 3.653)
[32] Xiaowei Jiang, Junwei Hu,Huaicheng Yan, Mingfeng Ge. On the achievable tracking performance of NCSs over SNR limited
channels. Journal of the Franklin Institute, 2019, 356(6): 3353-3367. (IF: 3.653)
招生要求
欢迎对机器人和人工智能方向有兴趣的机械类、控制类、计算机类及相关专业学生报考研究生
