马 超

副教授

  • 学 位:博士
  • 所在系所:机械电子工程系
  • 行政职务:
  • 办公地点:机电信息楼714
  • 办公电话:
  • 电子邮箱:cma@ustb.edu.cn
  • 科研方向:混杂系统、多机器人系统、智能机器人系统

  • 本科生课程:机电一体化技术

    研究生课程:机器人理论与应用

     

    教育经历:

    2010.09-2015.07,哈尔滨工业大学, 航天学院,控制科学与工程专业,获博士学位;

    2008.09-2010.07,哈尔滨工业大学, 航天学院,控制科学与工程专业,获硕士学位;

    2003.09-2007.07,中南大学, 信息与科学工程学院,自动化专业,获学士学位;

     

    工作经历:

    2020.07-至今,  北京科技大学,机械工程学院,副教授;

    2020.04-2020.06,北京科技大学,机械工程学院,讲师;

    2018.01-2020.03,北京科技大学,自动化学院,讲师;

    2017.07-2018.04,澳大利亚The University of Adelaide,电气与电子工程学院,访问学者;

    2015.09-2017.12,北京科技大学,自动化学院,教师博士后;

    2007.09-2008.07,长沙矿山研究院,助理工程师;

     

    代表性论著:

    [1]Chao Ma, Peng Shi, et al. Consensus of Euler-Lagrange Systems Networked by Sampled-Data Information with Probabilistic Time Delays ,IEEE Transactions on  Cybernetics,45(6):1126 - 1133(Regular Paper)

     

    [2]Xudong Zhao, Chao Ma, et al. A Stochastic Sampling Consensus Protocol of Networked Euler–Lagrange Systems With Application to Two-Link Manipulator,IEEE Transactions on Industrial Informatics, 11(4):907 - 914 (Regular Paper)

     

    [3]Chao Ma, et al. Distributed formation control of 6-DOF autonomous underwater vehicles networked by sampled-data information under directed topology. Neurocomputing, 154:33-40.

     

    [4]Chao Ma, et al. Distributed Adaptive Attitude Synchronization for Spacecraft Formation Flying with Sampled-data Information Flows. Journal of the Franklin Institute, 352(7):2796–2809.

     

    [5]Chao Ma, et al. Synchronization of networked Euler–Lagrange systems by sampled-data communication with time-varying transmission delays under directed topology. Neurocomputing, 149:729-735.

     

    [6] Chao Ma, et al. Flexible robotic grasping strategy with constrained region in environment. International Journal of Automation and Computing 14(5): 552-563.

     

    [7] Chao Ma, et al. Distributed mode-dependent state estimation for semi-Markovian jumping neural networks via sampled data." International Journal of Systems Science 50(1): 216-230.

     

    [8] Chao Ma, et al. Mixed H∞ and Passive Depth Control for Autonomous Underwater Vehicles with Fuzzy Memorized Sampled-Data Controller." International Journal of Fuzzy Systems 20(2): 621-629.

     

    [9] Chao Ma, et al. Finite-Time Formation of Unmanned Aerial Vehicles with Switching Topologies and Disturbances: An Average Dwell Time Approach. International Journal of Aerospace Engineering 2019.

     

    成果与荣誉:

      主持国家自然科学基金青年科学基金项目、国家重大科研仪器研制项目子课题、科技部国家重点研发计划子课题等项目,以及中国科学院自动化研究所、航天科技集团等多家企事业单位项目。