刘青松

发布时间:2021-04-05 发布者: 浏览次数:

               

刘青松,副教授,硕士生导师,湖北省“楚天学者计划”楚天学子(青年学者)。2018年12月,博士毕业于哈尔滨工业大学航天学院控制科学与工程专业,师从周彬教授(国家杰青)。主持国家自然科学基金项目和中国博士后特别资助项目各1项。在国际权威期刊 Automatica、IEEE汇刊和《自动化学报》等期刊上已发表SCI和EI学术论文30余篇。获校优秀毕业论文(设计)指导老师。研究方向:社会网络观点动力学、多自主体系统、博弈演化、时滞系统控制欢迎自动化、计算机和数学专业的优秀学生报考研究生!

联系方式(邮箱):qingsongliu@wust.edu.cn                   (手机/微信):15072312651


工作/学习经历:

1. 2020.12-至今,武汉科技大学 信息科学与工程学院/人工智能学院    副教授 、硕士生导师

2. 2023.09-2024.06,北京大学 工学院    访问学者(合作导师:梅文俊研究员,海外优青)

3. 2019.11-2020.12,武汉科技大学 信息科学与工程学院/人工智能学院    讲师 

4. 2019.01-2022.03,武汉科技大学 信息科学与工程学院/人工智能学院    博士后(合作导师:柴利教授,国家杰青) 

5. 2015.03-2018.12,哈尔滨工业大学 航天学院    博士(导师:周彬教授,国家杰青)


科研项目:

1. 国家自然科学基金项目青年基金(61903282),2020.01-2022.12,主持

2. 中国博士后科学基金第13批特别资助(2020T130488),2020年,主持


代表性论文:

[22] Q. Liu, L. Ma,  Impact of opinion on disease transmission with waterborne pathogen and stubborn community, IEEE Control Systems Letters, DOI: 10.1109/LCSYS.2024.3485963, 2024.

[21] Q. Liu, G. Wang, L. Chai, W. Mei, The influence of vaccine willingness on epidemic spreading in social networks, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 54(10), 6293-6303, 2024.

[20] Q. Liu, Z. Li,  Discrepancies of implicit and explicit opinions over time-varying social networks, IEEE Control Systems Letters, 8, 1979-1984, 2024.

[19] Q. Liu, L. Chai, The memory influence on opinion dynamics in coopetitive social networks: analysis, application and simulation, IEEE Transactions on Control of Network Systems, 10(4), 1867-1878, 2023.

[18] Q. Liu, L. Chai, M. Li, Dynamics of expressed and private opinion evolution over issue sequences, IEEE Transactions on Computational Social Systems, 10(5), 2860-2869, 2023.

[17] Q. Liu, Delay compensation of neutral-type time-delay control systems by cascaded-observers, Journal of Systems Science and Complexity, 36, 1053-1069, 2023.

[16] Q. Liu, X. Yang, Delay compensation of linear systems with multiple distributed input delays via memoryless feedback, Transactions of the Institute of Measurement and Control, 45(15), 2944-2954, 2023.

[15] 刘青松, 习晓苗,柴利,具有类万有引力的有界置信观点动力学分析与应用, 自动化学报, 49(9): 1967-1975, 2023.

[14] 刘青松, 李明鹏,柴利,具有遗忘群体的社会网络多维观点动力学分析与应用, 自动化学报, 49(10), 2201-2210, 2023.

[13] Q. Liu, L. Chai, Discrete time-delay multiagent networks: pseudo-predictor, full -order, and reduced-order observer, International Journal of Robust and Nonlinear Control, 32(12), 7202-7219, 2022.

[12]Q. Liu, Pseudo-predictor feedback control for multiagent systems with both state and input delays, IEEE/CAA Journal of Automatica Sinica, 8(11), 1827-1836, 2021.

[11] 刘青松, 基于嵌套− 伪预估器反馈的时滞控制系统输入时滞补偿, 自动化学报, 47(10), 2464-2471, 2021.

[10] Q. Liu, B. Zhou, Consensus of discrete-time multiagent systems with state, input, and communication delays, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 50(11), 4425-4437, 2020.

[9] Q. Liu, Observer-predictor feedback for consensus of discrete-time multiagent systems with both state and input delays, International Journal of Robust and Nonlinear Control, 30(10), 4003-4021, 2020.

[8] B. Zhou, Q. Liu, W. Michiels, Design of pseudo-predictor feedback for neutral-type linear systems with both state and input delays, Automatica, 109, 108502, 2019.

[7] Q. Liu, B. Zhou, Regulation of linear systems with both pointwise and distributed input delays by memoryless feedback, Journal of the Franklin Institute, 356, 5172-5192, 2019.

[6] Q. Liu, B. Zhou, Delay compensation for linear systems with both state and distinct input delays, International Journal of Robust and Nonlinear Control, 28, 4455-4478, 2018.

[5] B. Zhou, Q. Liu, Input delay compensation for neutral type time-delay systems, Automatica, 78, 309–319, 2017.

[4] B. Zhou, Q. Liu, F. Mazenc, Stabilization of linear systems with both input and state delays by observer–predictors, Automatica, 83, 368–377, 2017.

[3] Q. LiuB. Zhou, Extended observer based feedback control of linear systems with both state and input delays, Journal of the Franklin Institute, 354, 8232-8235, 2017.

[2] Q. LiuB. Zhou, Delay compensation of discrete-time linear systems by nested prediction, IET Control Theory & Applications, 10(15), 1824-1834, 2016.

[1] 刘青松, 刘宇飞,柴利,符号社会网络上的多维观点动力学与决策, 控制理论与应用, DOI: 10.7641/CTA.2023.30015, 2024.


教学情况:

1. 《现代控制理论》,32学时,本科生课程

2. 《信号与系统B》,28学时,本科生课程

3. 《高等工程数学》(矩阵分析),24/48学时,研究生课程


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