重庆大学自动化学院

王玉娟 教授/博导

发布时间:2019-04-01 18:30:52 阅读:


王玉娟,教授/博导。2016年获重庆大学控制理论与控制工程专业博士学位。

教育背景

2018-2011  江苏大学, 理学硕士

2012-2016  重庆大学,工学博士

2014-2015  德克萨斯大学,访问学者

2017-2018  香港大学, 博士后

专业领域:

控制理论,控制工程

主要研究方向:

多智能体系统协同控制、自适应控制、有限时间控制

主讲课程:

主讲中文硕士及博士课程2门,涵盖智慧工程导论、控制理论进展等。

学术兼职和荣誉:

· 中国自动化学会可信控制系统专业委员会副秘书长

· 担任多个控制领域顶级期刊如IEEE Trans. Automatic Control, Automatica, IEEE Trans. Neural Networks and Learning Systems, IEEE Trans. Industrial Electronics等审稿人

科研情况简介:

长期致力于先进控制理论及应用方面的研究,尤其是在网络化多智能体系统协同控制方面有系列成果,为解决网络化多智能体系统的安全可靠运行提供了创新解决方案,在工业及国防领域有重要应用价值。主持国家自然科学基金重大项目子课题、青年项目、重庆大学百人计划启动基金、中央高校教师科研创新能力提升项目和横向合作项目,参与国家自然科学基金重大项目、973 计划、国际合作项目等。入选重庆大学“百人计划”特聘人才计划。获中国自动化学会优秀博士论文奖(全国十位获奖者之一)、重庆市优秀博士学位论文奖。撰写英文专著1部,编写1部中文书章。目前发表或录用高水平论文30余篇,其中SCI 1区(中科院分区)论文 14篇,SCI 2区论文 6 篇(包括控制领域A类 1篇)。相关研究成果获得国内外专家学者广泛关注及引用评价,引用者包括国内外院士,IEEE Fellow,美国总统奖获得者。

论文及专著:

(一)专著

  1. Yongduan      Song, & Yujuan Wang, Cooperative Control of Nonlinear Networked      Systems------Nonfinite-time and Finite Time Design Approaches, Springer,      2019.

(二)论文(选录)

[1] Yongduan Song*, Yujuan Wang(王玉娟), & Changyun Wen. Adaptive fault-tolerant PI tracking control with guaranteed transient and steady-state performance, IEEE Transactions on Automatic Control, vol. 62, no. 1, pp. 481- 487, Jan. 2017.

[2] Yujuan Wang*(王玉娟), Yongduan Song, Miroslav Krstic, & Changyun Wen. Fault-tolerant finite time consensus for multiple uncertain nonlinear mechanical systems under single-way directed communication interactions and actuation failures, Automatica, vol. 63, pp. 374-383, Jan. 2016.

[3] Yongduan Song*, Yujuan Wang(王玉娟), John Holloway, & Miroslav Krstic. Time-varying feedback for regulation of normal-form nonlinear systems in prescribed finite time, Automatica, vol. 83, pp. 243-251, Sep. 2017.

[4] Yujuan Wang*(王玉娟), Yongduan Song. Leader-following control of high-order multi-agent systems under directed graphs: Pre-specified finite time approach, Automatica, vol. 87, pp. 113-120, Jan. 2018.

[5] Yujuan Wang*(王玉娟), Yongduan Song. A general approach to precise tracking of nonlinear systems subject to non-vanishing uncertainties, Automatica, vol. 106, pp. 306-314, Aug.2019.

[6] Yujuan Wang(王玉娟), Yongduan Song*, & Frank L. Lewis. Robust adaptive fault-tolerant control of multi-agent systems with uncertain non-identical dynamics and undetectable actuation failures, IEEE Transactions on Industrial Electronics, vol. 62, no. 6, pp. 3978-3988, 04 February 2015.

[7] Yujuan Wang*(王玉娟), Yongduan Song, David J. Hill, Zero-error consensus tracking with pre-assignable convergence for non-affine multi-agent systems, IEEE Transactions on Cybernetics, vol.51, no.3, pp.1300-1310, March 2021.

[8] Yongduan Song, Liu He, Yujuan Wang*(王玉娟). Globally exponentially stable tracking control of self-restructuring nonlinear systems, IEEE Transactions on Cybernetics, DOI:10.1109/TCYB.2019.2951574.

[9] Yujuan Wang(王玉娟), Yongduan Song*, & Miroslav Krstic. Collectively rotating formation and containment deployment of multi-agent systems: a polar coordinate based finite time approach, IEEE Transactions on Cybernetics, vol.47, no.8, pp.2161-2172, Aug. 2017.

[10] Yujuan Wang(王玉娟), Yongduan Song, David J. Hill, Miroslav Krstic, Prescribed-time consensus and containment control of networked multi-agent systems, IEEE Transactions on Cybernetics, vol. 49, no. 4, pp. 1138-1147, Apr.2019.

[11] Yujuan Wang(王玉娟), Yongduan Song*. Fraction dynamic-surface-based neuroadaptive finite-time containment control of multiagent systems in nonaffine pure-feedback form, IEEE Transactions on Neural Networks and Learning Systems, vol. 28, no. 3, pp. 678 - 689, March 2017.

[12] Yujuan Wang(王玉娟), Yongduan Song*, & Wei Ren. Distributed adaptive finite time approach for formation-containment control of networked nonlinear systems under directed topology, IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 7, pp.3164-3175, July 2018.

[13] Yujuan Wang(王玉娟), Yongduan Song*, Miroslav Krstic, & Changyun Wen. Adaptive finite time coordinated consensus for high-order multi-agent systems: adjustable fraction power feedback approach, Information sciences, vol. 372, pp.392-406, Dec. 2016.

[14] Ruizhen Gao, Yujuan Wang*(王玉娟), Junfeng Lai, & Hui Gao. Neuro-adaptive fault-tolerant control of high speed trains under traction-braking failures using self-structuring neural networks, Information sciences, vol. 367-368, pp. 449–462, 1 Nov. 2016.

[15] Yujuan Wang(王玉娟), Yongduan Song*, Hui Gao, Frank L. Lewis. Distributed fault-tolerant control of virtually and physically interconnected systems with application to high speed trains under traction/braking failures, IEEE Transactions on Intelligent Transportation Systems, vol.17, no.2, pp.535-545, Feb.2016.

[16] Yongduan Song, Yujuan Wang*(王玉娟), Miroslav Krstic, Time-varying feedback for stabilization in prescribed finite time, International Journal of Robust and Nonlinear Control, vol. 29, no. 3, pp. 618-633, 25 March 2018.

[17] Qian Cui, YujuanWang(王玉娟), Yongduan Song, Neuroadaptive fault-tolerant control under multiple objective constraints with applications to tire production systems, IEEE Transactions on Neural Networks and Learning Systems, DOI:10.1109/TNNLS.2020.2967150.

[18] Qian Cui, Yujuan Wang(王玉娟), Yongduan Song, Unified Tracking Control under Full State Constraints Imposed Irregularly, International Journal of Robust and Nonlinear Control, 录用。

[19] Yongduan Song*, Yujuan Wang(王玉娟), John Holloway, & Miroslav Krstic, Time-Varying Feedback for Finite-Time Robust Regulation of Normal-Form Nonlinear Systems, 2016 IEEE 55th Conference on Decision and Control (CDC), 12-14 Dec. 2016: 3837-3842.

[20] Yujuan Wang(王玉娟), Yongduan Song*, David J. Hill, & Miroslav Krstic, Prescribed finite time consensus of networked multi-agent systems, 2017 IEEE 56th Conference on Decision and Control (CDC), 2017, 4088-4093.

[21] Yujuan Wang(王玉娟), Yongduan Song*, & David J. Hill, Zero-error consensus tracking of uncertain nonlinear multi-agent systems, The 57th Conference on Decision and Control (CDC), 2018. 21 January 2019. DOI:10.1109/CDC.2018.8618891

[22] Ruizhen Gao, Yujuan Wang*(王玉娟), Junfeng Lai, Yongduan Song. Self-organizing neural adaptive tracking control of high speed trains subject to unexpected traction-breaking failures, 2016 International Joint Conference on Neural Networks (IJCNN), 2016: 4914-4920.

联系方式:

yjwang66@cqu.edu.cn

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