个人简介
葛明峰，教授，博士生导师，副系主任
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
2021.04~至今，中国地质大学，机电学院，机械工程系，教授
2018.07~至今，中国地质大学，机电学院，机械工程系，副系主任
2017.02~2021.04，中国地质大学，机电学院，机械工程系，副教授
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
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发表论文80余篇，其中SCI论文60余篇；4篇论文入选ESI高被引；受邀撰写Springer专著1章；授权多项发明专利
[2]担任IEEE Transactions on Automatic Control、Automatica等期刊审稿人；获得多个SCI期刊与国内权威期刊的审稿奖项
[3] 受邀担任第38届中国控制会议的Section Chair；受邀担任第45届IEEE工业电子学会年会的Special Section Organizer

研究方向
[1] 基于视觉反馈的集群无人系统智能控制、多机器人智能控制
[2] 深度强化学习、模糊计算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
[4] 智能电力系统的优化与控制、电力大数据分析

科研项目
[1] 国基金面上项目，基于云架构的多维度群集智能网络的协同控制与优化设计，**，在研，项目负责人
[2] 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，**，在研，项目负责人
[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，项目负责人
[4] 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，已结题，项目负责人
[5] 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] M.-F. Ge, Z.-W. Liu, L. Ding. Impulsive control of multi-agent systems with partial information. In: Handbook of Real-Time Computing. Springer, 2019, doi: 10.1007/978-981-4585-87-3_18-1. (Book Chapter)
[2] J. Liu, Y. Xu, K. Zhou, M.-F. Ge*. Fault diagnosis and failure prognosis in hydraulic systems. In: Fault Diagnosis and Prognosis Techniques for Complex Engineering Systems. Elsevier, 2021, doi: 10.1016/B978-0-12-822473-1.00011-2. (Book Chapter)
[3] M.-F. Ge, Z.-H. Guan, B. Hu, D.-X. He, R.-Q. Liao. Distributed controller-estimator for target tracking of networked robotic systems under sampled interaction. Automatica, 2016, 69: 410-417.
[4] M.-F. Ge, Z.-W. Liu, G. Wen, X. Yu, T. Huang. Hierarchical controller-estimator for coordination of networked Euler-Lagrange systems. IEEE Transactions on Cybernetics, 2020, 50(6): 2450-2461. (ESI高被引)
[5] M.-F. Ge, Y. Liu, X. Jiang, J. Liu. A review on state of health estimations and remaining useful life prognostics of lithium-ion batteries. Measurement, 2021, 174: 109057.
[6] M.-F. Ge, Z.-H. Guan, C. Yang, C.-Y. Chen, D.-F. Zheng, M. Chi. Task-space coordinated tracking of multiple heterogeneous manipulators via controller-estimator approaches. Journal of the Franklin Institute, 2016, 353(15): 3722-3738.
[7] M.-F. Ge, Z.-H. Guan, C. Yang, T. Li, Y.-W. Wang. Time-varying formation tracking of multiple manipulators via distributed finite-time control. Neurocomputing, 2016, 202: 20-26.
[8] M.-F. Ge, C.-H. Xiong, Z.-W. Liu, J. Liu, X.-W. Zhao. Coordinated tracking for networked robotic systems via model-free controller-estimator algorithms. Journal of the Franklin Institute, 2017, 354: 5646-5666.
[9] M.-F. Ge, Z. Ge, H. Pan, Y. Liu, Y. Xu, J. Liu. A deep condition feature learning approach for rotating machinery based on MMSDE and optimized SAEs. Measurement Science and Technology, 2021, 32: 035101.
[10] J.-Z. Xu, M.-F. Ge*, Z.-W. Liu, W.-Y. Zhang, W. Wei. Force-reflecting hierarchical approach for human-aided teleoperation of NRS with event-triggered local communication. IEEE Transactions on Industrial Electronics, 2021, doi: 10.1109/TIE.2021.**.
[11] T.-F. Ding, M.-F. Ge*, Z.-W. Liu, Y.-W. Wang, H.-R. Karimi. Discrete-communication-based bipartite tracking of networked robotic systems via hierarchical hybrid control. IEEE Transactions on Circuits and Systems I: Regular Papers, 2020, 67(4): 1402-1412.
[12] C.-D. Liang, M.-F. Ge*, Z.-W. Liu, Y.-W. Wang, H.-R. Karimi. Output multi-formation tracking of networked heterogeneous robotic systems via finite-time hierarchical control. IEEE Transactions on Cybernetics, 2021, 51(6): 2893-2904.
[13] T.-F. Ding, M.-F. Ge*, Z.-W. Liu, Y.-W. Wang, H.-R. Karimi. Lag-bipartite formation tracking of networked robotic systems over directed matrix-weighted signed graphs. IEEE Transactions on Cybernetics, 2020, doi: 10.1109/TCYB.2020.**.
[14] Z. Hu, Y. Wang, M.-F. Ge, J. 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. (ESI高被引)
[15] L. Wang, Z. Zeng, M.-F. 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, 2021, 51(2): 905-915. (ESI高被引)
[16] L. Wang, H. He, Z. Zeng, M.-F. Ge. Model-independent formation tracking of multiple Euler-Lagrange systems via bounded inputs. IEEE Transactions on Cybernetics, 2021, 51(5): 2813-2823.
[17] Y. Zhai, Z.-W. Liu, M.-F. Ge, G. Wen, X. Yu, Y. Qin. Trusted-region subsequence reduction for designing resilient consensus algorithms. IEEE Transactions on Network Science and Engineering, 2021, 8(1): 259-268.
[18] X.-Y. Yao, Ju H. Park, H.-F. Ding, M.-F. Ge. Coordination of a class of underactuated systems via sampled-data-based event-triggered schemes. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021, doi: 10.1109/TSMC.2020.**.
[19] X.-Y. Yao, Ju H. Park, H.-F. Ding, M.-F. Ge. Event-triggered consensus control for networked underactuated robotic systems. IEEE Transactions on Cybernetics, 2020, doi: 10.1109/TCYB.2020.**.
[20] M. Li, W. Wei, Y. Chen, M.-F. Ge, J. P. S. Catalao. Learning the optimal strategy of power system operation with varying renewable generations. IEEE Transactions on Sustainable Energy, 2021, doi: 10.1109/TSTE.2021.**.
[21] L. Zhong, M.-F. Ge, S. Zhang, Y. Liu. Rate-aware fuzzy clustering and stable sensor association for loading balancing in WSN. IEEE Internet of Things Journal, 2021, doi: 10.1109/JIOT.2021.**.
[22] X. Tu, W. Xie, Z. Chen, M.-F. Ge, T. Huang, C. Song, H.-Y. Fu. Analysis of deep neural network models for inverse design of silicon photonic grating coupler. IEEE Journal of Lightwave Technology, 2021, 39(9): 2790-2799.
[23] L. Wang, T. Dong, M.-F. Ge. Finite-time synchronization of memristor chaotic systems and its application in image encryption. Applied Mathematics and Computation, 2019, 347: 293-305. (ESI高被引)
[24] J.-W. Dong, C.-D. Liang, M.-F. Ge*, T.-F. Ding, X.-W. Zhao, Z.-W. Liu. Finite-time multi-target tracking of networked Euler-Lagrange systems via hierarchical active disturbance rejection control. International Journal of Control, 2021, doi: 10.1080/**.2021.**.
[25] C.-D. Liang, M.-F. Ge*, Z.-W. Liu, G. Ling, F. Liu. Predefined-time formation tracking control of networked marine surface vehicles. Control Engineering Practice, 2021, 107: 104682.
[26] G. Ling, M.-F. Ge*, X. Liu, G. Xiao, Q. Fan. Stochastic quasi-synchronization of heterogeneous delayed impulsive dynamical networks via single impulsive control. Neural Networks, 2021, 139: 223-236.
[27] T.-F. Ding, M.-F. Ge*, C.-H. Xiong*, J.-H. Park. Bipartite consensus for networked robotic systems with quantized-data interactions. Information Sciences, 2020, 511: 229-242.
[28] J.-Z. Xu, M.-F. Ge*, T.-F. Ding, C.-D. Liang, Z.-W. Liu. Neuro-adaptive fixed-time trajectory tracking control for human-in-the-loop teleoperation with mixed communication delays. IET Control Theory & Applications, 2020, 14(19): 3193-3203.
[29] Y.-D. Wu, M.-F. Ge*, T.-F. Ding, C.-Y. Chen, G. Ling. Task-space bipartite tracking of networked robotic systems via hierarchical finite-time control. Nonlinear Dynamics, 2020, 100: 3469-3483.
[30] T.-F. Ding, M.-F. Ge*, C.-H. Xiong, J.-H. Park, M. Li. Second-order bipartite consensus for networked robotic systems with quantized-data interactions and time-varying transmission delays. ISA Transactions, 2021, 108: 178-187.
[31] X.-Y. Yao, H.-F. Ding, M.-F. Ge. Task-space tracking control of multi-robot systems with disturbances and uncertainties rejection capability. Nonlinear Dynamics, 2018, 92: 1649-1664.
[32] M. Li, C. Mao, M.-F. Ge*, J. Gan. Data-driven iterative feedforward control with rational parametrization: Achieving optimality for varying tasks. Journal of the Franklin Institute, 2019, 356: 6352-6372.
[33] X.-Y. Yao, H.-F. Ding, M.-F. Ge. Synchronization control for multiple heterogeneous robotic systems with parameter uncertainties and communication delays. Journal of the Franklin Institute, 2019, 356: 9713-9729.
[34] C.-D. Liang, L. Wang, X.-Y. Yao, Z.-W. Liu, M.-F. Ge*. Multi-target tracking of networked heterogeneous collaborative robots in task space. Nonlinear Dynamics, 2019, 97: 1159-1173.
[35] X.-Y. Yao, H. Ding, M.-F. Ge. Fully distributed control for task-space formation tracking of nonlinear heterogeneous robotic systems. Nonlinear Dynamics, 2019, 96: 87-105.
[36] J.-J. He, Y.-Q. Lin, M.-F. Ge*, C.-D. Liang, T.-F. Ding. Adaptive finite-time cluster synchronization of neutral-type coupled neural networks with mixed delays. Neurocomputing, 2020, 384: 11-20.
[37] G. Ling, M.-F. Ge*, Y.-H. Tong, Q. Fan. Exponential synchronization of delayed switching genetic oscillator networks via mode-dependent partial impulsive control. Neural Processing Letters, 2021, 53: 1845-1863.
[38] J.-J. He, H. Chen, M.-F. Ge*, T.-F. Ding, L. Wang, C.-D. Liang. Adaptive finite-time quantized synchronization of complex dynamical networks with quantized time-varying delayed couplings. Neurocomputing, 2021, 431: 90-99.
[39] J. Chen, Z.-H. Guan, T. Li, D.-X. Zhang, M.-F. Ge, D.-F. Zheng. Multiconsensus of fractional-order uncertain multi-agent systems. Neurocomputing, 2015, 168: 698-705.
[40] J. Wu, Z.-J. Zhou, X.-S. Zhan, H.-C. Yan, M.-F. Ge. Optimal modified tracking performance for MIMO networked control systems with communication constraints. ISA Transactions, 2017, 68: 14-21.
[41] L. Wang, M.-F. Ge, Z. Zeng, J. Hu. Finite-time robust consensus of nonlinear disturbed multiagent systems via two-layer event-triggered control. Information Sciences, 2018, 466: 270-283.
[42] X.-Y. Yao, H.-F. Ding, M.-F. Ge. Formation-containment control for multi-robot systems with two-layer leaders via hierarchical controller-estimator algorithms. Journal of the Franklin Institute, 2018, 355: 5272-5290.
[43] X.-Y. Yao, J.-H. Park, H.-F. Ding, M.-F. Ge. Quantized fault-tolerant consensus for multiple Lagrangian systems subject to switching networks. International Journal of Robust and Nonlinear Control, 2021, 31: 5069-5085.
[44] L. Wang, Z. Zeng, M.-F. Ge, J. Hu. Global stabilization analysis of inertial memristive recurrent neural networks with discrete and distributed delays. Neural Networks, 2018, 105: 65-74.
[45] Z.-W. Liu, X. Hu, M.-F. Ge, Y.-W. Wang. Asynchronous impulsive control for consensus of second-order multi-agent networks. Communications in Nonlinear Science and Numerical Simulation, 2019, 79, 104892.
[46] X. Jiang, X. Chen, J. Hu, H. Yan, M.-F. Ge. On the achievable tracking performance of NCSs over SNR limited channels. Journal of the Franklin Institute, 2019, 356: 3353-3367.
[47] T. Jin, Z.-W. Liu, H. Zhou, M.-F. Ge. Scale-based cluster formation for multi-agent systems with mismatched disturbances. Journal of the Franklin Institute, 2019, 356: 7393-7410.
[48] X.-Y. Yao, J.-H. Park, H.-F. Ding, M.-F. Ge. Event-triggered fault-tolerant control for nonlinear systems with semi-Markov process. International Journal of Control, 2021, doi: 10.1080/**.2021.**.
[49] L. Wang, Z. Zeng, X. Zong, M.-F. Ge. Finite-time stabilization of memristor-based inertial neural networks with discontinuous activations and distributed delays. Journal of the Franklin Institute, 2019, 356: 3628-3643.
[50] L. Wang, M.-F. Ge, J. Hu, G. Zhang. Global stability and stabilization for inertial memristive neural networks with unbounded distributed delays. Nonlinear Dynamics, 2019, 95: 943-955.
[51] X.-W. Jiang, X.-Y. Chen, M. Chi, M.-F. Ge. Optimal performance of LTI systems over power constrained erasure channels. Information Sciences, 2020, 512: 327-337.
[52] X.-Y. Yao, H.-F. Ding, M.-F. Ge, J.-H. Park. Event-triggered synchronization control of networked Euler-Lagrange systems without requiring relative velocity information. Information Sciences, 2020, 508: 183-199.
[53] X. Liu, D. Bai, Y.-D. Wu, M.-F. Ge, A.-N. Vargas. Event-triggered load frequency control of smart grids under deception attacks. IET Control Theory & Applications, 2021, 15: 1335–1345.
[54] G. Ling, X. Liu, M.-F. Ge, Y. Wu. Delay-dependent cluster synchronization of time-varying complex dynamical networks with noise via delayed pinning impulsive control. Journal of the Franklin Institute, 2021, 358: 3193-3214.
[55] Y. Xie, L. Xiao, M.-F. Ge, L. Wang, G. Wang. New results on global exponential stability of genetic regulatory networks with diffusion effect and time-varying hybrid delays. Neural Processing Letters, 2021, doi: 10.1007/s11063-021-10573-z.