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自动化研究所人才库

  • 姓名: 侯增广
  • 性别: 男
  • 职称: 研究员
  • 电子邮件: zengguang.hou@ia.ac.cn
    简  历:
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    姓名

    侯增广

    性别

    联系方式

    zengguang.hou@ia.ac.cn

    专业技术职务

    研究员

    部门/实验室

    复杂系统管理与控制国家重点实验室副主任

    通讯地址

    北京市海淀区中关村东路95号

    邮编

    100190

    研究领域

    计算智能、智能控制;

    机器人与智能系统;

    脑机接口与人机交互;

    面向运动与认知功能障碍的康复机器人;

    心脑血管微创介入手术机器人;

    嵌入式系统的软硬件开发。

    工作简历

    研究员、博士生导师(2004年始)

    兼职经历

    中国自动化学会副理事长

    智能机器人专业委员会副主任委员

    亚太神经网络学会(APNNS)副主席(VP)

    国际神经网络学会(INNS)理事(BOG)

    《IEEE Transactions on Cybernetics》编委

    《Neural Networks》编委

    《控制理论与应用》编委

     

    曾担任IEEE神经网络技术委员会主席(Chair, NNTC, IEEE CIS)、 IEEE动态规划与强化学习技术委员会主席(Chair, ADPRLTC,  IEEE CIS),曾担任IEEE计算智能学会(CIS) E-Letter的Editor、期刊《自动化学报》、《IEEE Computational Intelligence Magazine》、《IEEE Transactions on Neural Networks》、《Journal of Intelligent and Fuzzy Systems》、《International Journal of Intelligent Systems Technologies and Applications》、《International Journal of Cognitive Informatics and Natural Intelligence》等编委。

    发表论文

     

    [1]  Wang, C., Peng, L., Hou, Z.G.*, Li, J., Zhang, T., and Zhao, J., “Quantitative assessment of upper-limb motor function for post-stroke rehabilitation based on motor synergy analysis and multi-modality fusion”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 28, no. 4, pp. 943-952, April 2020.

    [2]  Sun, T., Peng, L., Cheng, L., Hou, Z.G.*, and Pan, Y., “Composite learning enhanced robot impedance control”, IEEE Transactions on Neural Networks and Learning Systems, vol. 31, no. 3, pp. 1052-1059, March 2020.

    [3]  Zhou, X., Bian, G., Xie, X., Hou, Z.G.*, Li, R., and Zhou, Y., “Qualitative and quantitative assessment of technical skills in percutaneous coronary intervention: In vivo porcine studies,” IEEE Transactions on Biomedical Engineering, vol. 67, no. 2, pp. 353-364, Feb. 2020.

    [4]  L. Luo, L. Peng, C. Wang, and Hou, Z.G.*, “A greedy assist-as-needed controller for upper limb rehabilitation”, IEEE Transactions on Neural Networks and Learning Systems, 2019, vol. 30, no. 11, pp. 3433-3443.

    [5]  X. Zhou, G. Bian, X. Xie, Hou, Z.G.*, et al, “Analysis of interventionalists’ natural behaviors for recognizing motion patterns of endovascular tools during percutaneous coronary interventions”, IEEE Transactions on Biomedical Circuits and Systems, 2019, vol. 13, no. 2, pp. 330-342.

    [6]  C. Cui, G. Bian, Hou, Z.G.*, J. Zhao, G. Su, H. Zhou, et al., "Simultaneous Recognition and Assessment of Post-Stroke Hemiparetic Gait by Fusing Kinematic, Kinetic, and Electrophysiological Data," IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 26, pp. 856-864, 2018.

    [7]  Cui, C., Bian, G., Hou, Z.G.*, Zhao, J., and Zhou, H., “A multimodal framework based on integration of cortical and muscular activities for decoding human intentions about lower limb motions”, IEEE Transactions on Biomedical Circuits and Systems, August 2017, vol. 11, no. 4, pp. 889-899.

    [8]  J. Wang, W. Wang, and Hou, Z.G.*, “Towards improving engagement in neural rehabilitation: attention enhancement based on brain-computer interface and audiovisual feedback”, IEEE Transactions on Cognitive and Developmental Systems, 2019, available online, doi: 10.1109/TCDS.2019.2959055.

    [9]  L. Cheng, Y. Liu, Hou, Z.G., et al, “A rapid spiking neural network approach with an application on hand gesture recognition,” IEEE Transactions on Cognitive and Developmental Systems, 2019, available online, doi: 10.1109/TCDS.2019.2918228

    [10] Sun, T., Peng, L., Cheng, L., Hou, Z.G.* and Pan, Y., “Stability-guaranteed variable impedance control of robots based on approximate dynamic inversion”, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019, available online, doi: 10.1109/TSMC.2019.2930582

    [11] Z. G. Hou, L. Cheng, and M. Tan, "Multicriteria optimization for coordination of redundant robots using a dual neural network," IEEE Transactions on Systems, Man and Cybernetics, Part B: Cybernetics, vol. 40, no. 4, pp. 1075-1087, 2010.(regular paper) 

    [12] Z. G. Hou, A. Zou, L. Cheng, and M. Tan, "Adaptive control of an electrically driven nonholonomic mobile robot via backstepping and fuzzy approach," IEEE Transaction on Control Systems Technology, vol. 17, no. 4, pp. 803-815, 2009.(regular paper) 

    [13] Z. G. Hou, L. Cheng, and M. Tan, "Decentralized robust adaptive control for the multiagent system consensus problem using neural networks," IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol. 39, no. 3, pp. 636-647, 2009.(regular paper) 

    [14] Z. G. Hou, M. M. Gupta, P. N. Nikiforuk, M. Tan, and L. Cheng, "A recurrent network for hierarchical control of interconnected dynamic systems," IEEE Transactions on Neural Networks, vol. 18, no. 2, pp. 466-481, 2007.(regular paper) 

    [15] A. Zou, K. Dev Kumar, Z. G. Hou, and X. Liu, "Finite-time attitude tracking control for spacecraft using terminal sliding mode and Chebyshev neural network," IEEE Transactions on Systems, Man and Cybernetics, Part B: Cybernetics, vol. 41, no. 4, pp. 950-963, 2011. (regular paper) 

    [16] L. Cheng, Y. Lin, Z. G. Hou, M. Tan, J. Huang, and W. Zhang, "Adaptive tracking control of hybrid machines: a closed-chain five-bar mechanism case," IEEE/ASME Transactions on Mechatronics, vol. 16, no. 6, pp. 1155-1163, 2011.(regular paper) 

    [17] L. Cheng, Z. G. Hou, M. Tan, and X. Wang, "Necessary and sufficient conditions for consensus of double-integrator multi-agent systems with measurement noises," IEEE Transactions on Automatic Control, vol. 56, no. 8, pp. 1958- 1963, 2011. 

    [18] Z. G. Hou, "A hierarchical optimization neural network for large-scale dynamic systems," Automatica, vol. 37, no. 12, pp. 1931-1940, 2001. (regular paper) 

    [19] A. Zou, K. Dev Kumar, and Z. G. Hou, "Quaternion-based adaptive output feedback attitude control of spacecraft using Chebyshev neural networks," IEEE Transactions on Neural Networks, vol. 21, no. 9, pp. 1457-1471, 2010. (regular paper) 

    [20] A. Zou, Z. G. Hou, and M. Tan, "Adaptive control of a class of nonlinear pure-feedback systems using fuzzy backstepping approach," IEEE Transactions on Fuzzy Systems, vol. 16, no. 4, pp. 886-897, 2008.(regular paper) 

    专利成果

    国际PCT专利(部分)

    专利名称:Upper limb rehabilitation robot system,专利授权号:US10596056B2,授权日期:20200324。

    专利名称:Multi-Posture Lower Limb Rehabilitation Robot,专利公开号:US20180133088A1,公开日期:20180517。

    国家发明专利(部分)

    专利名称:基于脑-机接口的注意力调控系统,受理公开号:CN110522447A,公开日期:2019/12/3。

    专利名称:基于虚拟现实技术的康复功能评定装置及方法,受理公开号:CN107993720A,公开日期:2018/5/4。

    专利名称:软体气驱的手部康复装置,授权公开号:CN107280915B,授权日期:2019/9/24。

    专利名称:一种三自由度腕关节康复机器人及其系统,授权公开号:CN106361539B,授权日期:2019/9/24。

    专利名称:一种上肢康复机器人手指及手腕训练装置,授权公开号:CN105796285B,授权日期:2017/11/21。

    专利名称:一种变阻抗和基于事件的触觉反馈控制方法,授权公开号:CN105824248B,授权日期:2018/9/25。

    专利名称:基于阻抗控制的康复训练方法,授权公开号:CN104644378B,授权日期:2017/6/13。

    专利名称:任务导向式主动训练控制方法及相应的康复机器人,授权公开号:CN104492066B,授权日期:2017/2/22。

    专利名称:截瘫患者用下肢康复医疗机器人”,专利号:CN200910075068.5,授权日期:2011.5.11

    专利名称:微创血管介入手术机器人送管机构”,专利号:CN201010221156.4,授权日期:2011.10.12

    专利名称:微创血管介入手术机器人送管机构的控制装置,专利号:CN201010221159. 8,授权日期:2012.4.25

    荣誉及奖励

    2018,IEEE Fellow

    2017,国家自然科学二等奖(第二完成人)

    2017,亚太神经网络学会(APNNS)杰出贡献奖(Outstanding Achievement Award) 

    2017,CAA优秀博士论文导师奖

    2016,国家“万人计划”领军人才

    2015,中国科学院“优秀研究生导师奖”

    2015,CAA自然科学奖一等奖

    2014,政府特殊津贴

    2013,IEEE Transactions on Neural Networks Outstanding Paper Award 

    2013,朱李月华优秀教师奖

    2012,国家杰出青年基金

    2010,杨家墀科技奖

    科研项目

    作为项目负责人,正在承担国家重点研发计划项目、国家自然科学基金重点与集成项目、国际合作项目(英国BU、瑞士ETH、新西兰AUT等)、北京市自然科学基金重点项目、中国科学院先导专项项目等。

    社会任职:
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    承担科研项目情况:
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    代表论著:
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    获奖及荣誉:
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