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闫飞
职称:副教授学历:博士研究生
学科:控制科学与工程
人才称号:山西省“三晋英才”青年优秀人才
研究领域或方向: 迭代学习控制理论及其应用 城市交通信号控制及智能交通系统
邮箱:yanfei@tyut.edu.cn
  • 主讲课程
  • 学术兼职
  • 学术论文
  • 主持项目
  • 著作
    《传感器与检测技术》
    IEEE会员
    中国自动化学会会员
    [1] Fei Yan, Gaowei Yan, Mifeng Ren, Jianyan Tian, Zhongke Shi. A novel control strategy for balancing traffic flow in urban traffic network based on iterative learning control [J]. Physica A, 2018.(SCI 检索)
    [2] Fei Yan, Fuli Tian, Zhongke Shi. An iterative learning approach for traffic signal control of urban road networks [J]. IET Control Theory and Applications. 2017. (SCI 检索)
    [3] Fei Yan, Fuli Tian, Zhongke Shi. An extended signal control strategy for urban network traffic flow [J]. Physica A, 2016. (SCI 检索)
    [4] Fei Yan, Fuli Tian, Zhongke Shi. Effects of iterative learning based signal control strategies on macroscopic fundamental diagrams of urban road networks [J]. International Journal of Modern Physics C, 2016. (SCI 检索)
    [5] Fei Yan, Fuli Tian, Zhongke Shi. Iterative Learning Control Approach for Signaling Split in Urban Traffic Networks with Macroscopic Fundamental Diagrams [J]. Mathematical Problems in Engineering, 2015. (SCI 检索)
    [6] Tianyi Lan, Fei Yan*, Hui Lin. Iterative Learning Control with Forgetting Factor for Urban Road Network [J]. Journal of Control Science and Engineering. 2017. (SCI 检索)
    [7] Fei Yan, Fuli Tian, Zhongke Shi. An improved traffic network model for model-based predictive control [C]. Proceeding of 33rd Chinese Control Conference. 2014. (EI 检索)
    [8] Gang Bai, Fei Yan*, Min He, Gaowei Yan. Soft sensor of wet ball mill load based on DAMKELM model[C] // Proceedings of the 30th Chinese Control and Decision Conference, 2018: 1087-1092. (EI 检索)
    [9] Wei Gao, Shengqiang Yang, Jianyan Tian, Amit Banerjee, Fei Yan. Construction and application of barrel finishing underlying database platform [J]. Cluster Computing, 2018(11): 1-12. (EI 检索)
    [10] 闫飞, 李浦, 续欣莹. 基于迭代学习与模型预测控制的交通信号混合控制方法[J]. 控制理论与应用, 2020. (EI 检索)
    [11] 闫飞, 李浦, 阎高伟, 任密蜂. 考虑交通流非线性特性的交通信号迭代学习控制策略[J]. 自动化学报, 2019. (EI 检索)
    [12] 闫飞, 田福礼, 史忠科. 城市道路交叉口信号的鲁棒迭代学习控制[J]. 中国公路学报, 2016. (EI 检索)
    [13] 闫飞, 田福礼, 史忠科. 城市交通信号的迭代学习控制及其对路网宏观基本图的影响[J]. 控制理论与应用, 2016. (EI 检索)
    [14] 闫飞, 田福礼, 史忠科. 城市区域交通信号迭代学习控制策略[J]. 控制与决策, 2015. (EI 检索)
    [1] 国家自然科学基金项目:基于 MFD 的城市路网控制子区的动态划分与子区信号的迭代学习控制方法(2018.01.01-2020.12.31),24.6万,在研;
    [2] 中国博士后科学基金项目:城市路网交通拥堵区域的动态界定与拥堵消散控制策略(2019.06.01-2021.12.31),8万,在研;
    [3] 山西省应用基础研究计划项目:基于宏观基本图的大规模城市路网交通子区协同控制方法研究(2019.01.01-2021.12.31),3万,在研。

    [1]    闫飞. 基于宏观基本图的城市道路交通信号迭代学习控制[M]. 北京:科学出版社,2018.

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