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    韩克镇

    • 硕士生导师
    • 教师拼音名称:hankezhen
    • 出生日期:1988-03-29
    • 所在单位:自动化与电气工程学院
    • 学历:博士研究生毕业
    • 性别:男
    • 学位:工学博士学位
    • 在职信息:在职
    • 毕业院校:东北大学

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    个人简介

          个人主页https://singularzhen.github.io/

          韩克镇,男,工学博士。主要研究方向为故障诊断与容错控制,模型预测控制,强化学习,单片机控制,电子电路控制等。    

          主持完成1项国家自然科学基金项目、1项山东省自然科学基金项目、1项中国博士后基金项目、1项济南市博士后项目,并参与了多项国家及省部级基金项目的研究工作。近年来以第一作者在International Journal of Control, International Journal of Robust and Nonlinear Control, IEEE Transactions on Industrial Informatics等国内外期刊上发表SCI学术论文14篇。受邀担任TIE, TIF, TII, IJC, IJRNC等多家国内外期刊审稿人。

    讲授课程:

    数字电子技术;模拟电子技术;电工电子技术; 电路原理。

    发表期刊论文:

    [21] Han KZ, Feng J, Li Y, et al. Fault-tolerant tracking control optimization of constrained LPV systems based on embedded preview regulation and reference governance[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023, 53(1): 118-130. (SCI)

    [20] Han KZ, Chen C, Chen M, et al. Constrained active fault tolerant control based on active fault diagnosis and interpolation optimization[J]. Entropy, 2021, 23(8): 924. (SCI)

    [19] Han KZ, Feng J, Zhao Q. Robust estimator-based dual-mode predictive fault tolerant control for constrained linear parameter varying systems[J]. IEEE Transactions on Industrial Informatics, 2021, 17(7): 4469-4479. (SCI)

    [18] Han KZ, Feng J, Zhao Q, Jiang P, Wang XH. Robust constrained predictive fault tolerant control with generalized input parameterization and event-triggered regulation: design and experimental results[J]. IEEE Transactions on Industrial Electronics, 2021, 68(9): 8615-8625. (SCI)

    [17] Han KZ, Feng J. Data-driven robust fault tolerant linear quadratic preview control of discrete-time linear systems with completely unknown dynamics[J]. International Journal of Control, 2021, 94(1): 49-59. (SCI)

    [16] Han KZ, Feng J. Reduced-order estimator-based efficient fault-tolerant tracking control optimization for constrained LPV systems[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021, 51(9): 5855-5866. (SCI)

    [15] Han KZ, Feng J. Fault tolerant tracking control for a class of linear parameter varying systems using reduced-order simultaneous estimator and optimal preview policy[J]. International Journal of Systems Science, 2020, 51(2): 313-333. (SCI)

    [14] Han KZ, Feng J, Li Y, et al. Reduced-order simultaneous state and fault estimator based fault tolerant preview control for discrete-time linear time-invariant systems[J]. IET Control Theory & Applications, 2018, 12(11): 1601-1610. (SCI)

    [13] Han KZ, Feng J. Robust periodically time‐varying horizon finite memory fault detection filter design for polytopic uncertain discrete‐time systems[J]. International Journal of Robust and Nonlinear Control, 2017, 27(17): 4116-4137. (SCI)

    [12] Feng J, Han KZ, Zhao Q. Memory scheduling robust H∞ filter-based fault detection for discrete-time polytopic uncertain systems over fading channels[J]. IET Control Theory & Applications, 2017, 11(14): 2204-2212. (SCI)

    [11] Feng J, Han KZ, Zhang H, et al. Identification-oriented robust finite memory fault detection filter design for networked industrial process with fading channel communication[J]. Neurocomputing, 2017, 267: 624-634. (SCI)

    [10] Han KZ, Feng J, Yao Y. An integrated data-driven Markov parameters sequence identification and adaptive dynamic programming method to design fault-tolerant optimal tracking control for completely unknown model systems[J]. Journal of the Franklin Institute, 2017, 354(13): 5280-5301. (SCI)

    [9] Han KZ, Feng J, Cui X. Fault-tolerant optimised tracking control for unknown discrete-time linear systems using a combined reinforcement learning and residual compensation methodology[J]. International Journal of Systems Science, 2017, 48(13): 2811-2825. (SCI)

    [8] Han KZ, Feng J. A novel two-stage strategy for robust H∞ filter design of uncertain discrete-time systems[J]. Journal of the Franklin Institute, 2016, 353(13): 3040-3056. (SCI)

    [7] Han KZ, Feng J. Improved scalar parameters approach to design robust H∞ filter for uncertain discrete-time linear systems[J]. Signal Processing, 2015, 113: 113-123. (SCI)

    [6] Feng J, Han KZ. Robust full-and reduced-order energy-to-peak filtering for discrete-time uncertain linear systems[J]. Signal Processing, 2015, 108: 183-194. (SCI)

    [5] Han KZ, Feng J, Chang X. Reduced-order partially mode-dependent energy-to-peak filter design for discrete-time Markov jump systems subject to quantizer faults and state-dependent noises[J]. Circuits, Systems, and Signal Processing, 2015, 34(1): 77-103. (SCI)

    [4] Han KZ, Chang X. Peak-to-peak dynamic output feedback control for input–output quantized discrete-time system[J]. Transactions of the Institute of Measurement and Control, 2014, 36(6): 772-779. (SCI)

    [3] Han KZ, Chang X H. Parameter-dependent robust H∞ filter design for uncertain discrete-time systems with quantized measurements[J]. International Journal of Control, Automation and Systems, 2013, 11(1): 194-199. (SCI)

    [2] Wang J, Si X, Han KZ. Robust quantized generalized filtering for uncertain discrete-time fuzzy systems[J]. Mathematical Problems in Engineering, 2015. DOI: 10.1155/2015/807254. (SCI)

    [1] Wang J, Han KZ. Robust event-triggered energy-to-peak filtering for polytopic uncertain systems over lossy network with quantized measurements[J]. Discrete Dynamics in Nature and Society, 2016. DOI: 10.1155/2016/2867932. (SCI)