教授

Faculty
  • 沈栋

    教授、理学博士、博士生导师

    主要研究方向:随机系统的学习控制与优化,机器学习及其在系统控制中的应用,分布式人工智能,随机逼近理论,启发式优化算法。更多信息请参见 http://shendong.tech

    办公室:数学楼207 010-82507078
  • 教育经历

    - 中科院数学与系统科学研究院,博士,数学 (运筹学与控制论), 2005.09 - 2010.07
    - 山东大学数学学院,学士,数学 (信息与计算科学), 2001.09 - 2005.07

  • 工作经历

    - 中国人民大学, 教授, 2019.12-
    - 北京化工大学, 教授, 2018.01-2019.12
    - 北京化工大学, 副教授, 2012.06 - 2017.12
    - 中科院自动化研究所, 博士后, 2010.07 - 2012.05
    - 澳大利亚皇家墨尔本理工大学(RMIT U.), 访问学者, 2019.07-2019.08
    - 新加坡国立大学, 访问学者, 2016.02-2017.02

  • 科研成果

    详情请前往学术主页 http://shendong.tech
    ▶ 概述
    我的主要研究方向是随机系统的控制与优化,特别是在迭代学习控制、随机逼近理论、多智能体系统、分布式与分散式控制设计、最优化等方面。我还负责金融计算与数字工程教育部工程研究中心的分布式人工智能实验室,主要研究方向包括分布式机器学习/深度学习、人工智能等方面的理论研究与工程化实现。欢迎对以上方向感兴趣的博士生、硕士生、本科生加入我们团队。
    ▶ 基金
    1. 61673045, 不完备数据下迭代学习控制的鲁棒性及控制系统设计, 国家自然科学基金面上项目, 主持, 2017.01-2020.12, ¥ 620 000.00
    2. 4152040, 随机数据丢包环境下的迭代学习控制设计与分析, 北京市自然科学基金面上项目, 主持, 2015.01-2017.12, ¥ 140 000.00
    3. 61304085, 非常规跟踪目标下随机系统迭代学习控制算法设计与分析, 国家自然科学基金青年项目, 主持, 2014.01-2016.12, ¥ 220 000.00
    ▶ 著作
    1. Dong Shen, Xuefang Li. Iterative Learning Control for Systems with Iteration-Varying Trial Lengths: Synthesis and Analysis. Springer Singapore, 2019.
    2. Dong Shen. Iterative Learning Control with Passive Incomplete Information: Algorithm Design and Convergence Analysis. Springer Singapore, 2018.
    3. Shiping Yang, Jian-Xin Xu, Xuefang Li, Dong Shen. Iterative Learning Control for Multi-Agent Systems Coordination. Wiley & IEEE Press, 2017.
    4. Dong Shen. Stochastic Iterative Learning Control. Science Press, 2016 (In Chinese).
    ▶ 部分论文
    截至2020年3月, 已发表(含在线发表)期刊与会议论文120余篇, 其中SCI论文75篇, 所发表论文在Web of Science中被引用800余次, 在Google Scholar中统计被引1200余次, H指数18. 近期代表作如下:
    11. Dong Shen*, Ganggui Qu, Xinghuo Yu. Averaging Techniques for Balancing Learning and Tracking Abilities Over Fading Channels. IEEE Transactions on Automatic Control, in press. (IF: 5.625, Top)
    10. Dong Shen*, Xinghuo Yu. Learning Tracking Control Over Unknown Fading Channels Without System Information. IEEE Transactions on Neural Networks and Learning Systems, in press. (IF: 8.793, Top)
    9. Dong Shen*, Chao Zhang. Zero-Error Tracking Control under Unified Quantized Iterative Learning Framework via Encoding-Decoding Method. IEEE Transactions on Cybernetics, in press. (IF: 11.079, Top)
    8. Dong Shen*, Chen Liu, Lanjing Wang, Xinghuo Yu. Iterative Learning Tracking for Multi-Sensor Systems: A Weighted Optimization Approach. IEEE Transactions on Cybernetics, in press. (IF: 11.079, Top)
    7. Dong Shen*, Jian-Xin Xu. A New Iterative Learning Control Algorithm with Gain Adaptation for Stochastic Systems. IEEE Transactions on Automatic Control, vol. 65, no. 3, pp. 1280-1287, 2020. (IF: 5.093, Top)
    6. Dong Shen*, Ganggui Qu. Performance Enhancement of Learning Tracking Systems Over Fading Channels with Multiplicative and Additive Randomness. IEEE Transactions on Neural Networks and Learning Systems, vol. 31, no. 4, pp. 1196-1210, 2020. (IF: 11.683, Top)
    5. Dong Shen*, Jian-Xin Xu. Adaptive Learning Control for Nonlinear Systems with Randomly Varying Iteration Lengths. IEEE Transactions on Neural Networks and Learning Systems, vol. 30, no. 4, pp. 1119-1132, 2019. (IF: 7.982, Top)
    4. Dong Shen*, Jian-Xin Xu. Distributed Learning Consensus for Heterogenous High-Order Nonlinear Multi-Agent Systems with Output Constraints. Automatica, vol. 97, no. 64-72, 2018. (IF: 6.126, Top)
    3. Dong Shen*. Data-Driven Learning Control for Stochastic Nonlinear Systems: Multiple Communication Constraints and Limited Storage. IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 6, pp. 2429-2440, 2018. (IF: 6.108, Top)
    2. Dong Shen*, Jian-Xin Xu. A Novel Markov Chain Based ILC Analysis for Linear Stochastic Systems Under General Data Dropouts Environments. IEEE Transactions on Automatic Control, vol. 62, no. 11, pp. 5850-5857, 2017. (IF: 4.270, Top)
    1. Dong Shen*, Wei Zhang, Youqing Wang, Chiang-Ju Chien. On Almost Sure and Mean Square Convergence of P-type ILC under Randomly Varying Iteration Lengths. Automatica, vol. 63, no. 1, pp. 359-365, 2016. (IF: 5.451, Top)

  • 学术服务

    ▶ 委员会员
    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,2015- ;副秘书长,2017-
    中国自动化学会混合智能专业委员会委员,2017-
    IEEE Senior Member,2017- ; IEEE Member, 2010-2017
    Mathematical Reviews/MathSciNet Reviewer,Number 138232
    ▶ 期刊编委
    Associate Editor, IEEE Access (2区),2019-
    Associate Editor, IET Cyber-Systems and Robotics, 2020-
    Editor,Springer Book Series on Intelligent Control and Learning Systems, 2019-
    ▶ 会议服务
    2020,Publication Chair, IEEE 9th Data Driven Control and Learning Systems Conference
    2019,Publication Chair, IEEE 8th Data Driven Control and Learning Systems Conference
    2018,Publication Chair, IEEE 7th Data Driven Control and Learning Systems Conference
    2017,IPC Member and Associate Editor, the 2017 Asian Control Conference
    2017,Invited Session Chair, IEEE 6th Data Driven Control and Learning Systems Conference
    2016,Publicity Chair, the 5th Data Driven Control and Learning System Conference

  • 荣誉获奖

    2019,亚洲控制期刊杰出审稿人奖 (AJC Outstanding Reviewer of 2018, 该年共12人)
    2018,IEEE 7th DDCLS最佳论文提名奖
    2017,入选北京化工大学“青年英才百人计划”
    2017,顶级期刊IEEE Trans. Automatic Control杰出审稿人
    2015,第二届高校微课教学比赛北京市赛区二等奖(独立)
    2014,IEEE控制系统协会北京分会青年作者奖(排名第一,每年仅选1篇,1/2000+)
    2012,吴文俊人工智能科技进步奖二等奖(排名第五)

 

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