西安电子科技大学机电工程学院导师教师师资介绍简介-郑元世

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基本信息
姓名：郑元世职位：华山菁英教授
博士生导师
博士学科：控制理论与控制工程
硕士学科：学硕/专硕　
工作单位：机电工程学院

联系方式

个人简介
郑元世，男，博士，1985年生于浙江省江山市，就职于西安电子科技大学，副教授
学习工作经历：
2002年9月～2006年7月，宁夏大学，数学计算机学院，理学学士
2006年9月～2009年7月，宁夏大学，数学计算机学院，理学硕士
2009年8月～2012年12月，西安电子科技大学，机电工程学院，工学博士
2013年1月～2016年6月，西安电子科技大学，机电工程学院，讲师
2016年5月～今，西安电子科技大学，机电工程学院，硕士生导师
2016年7月～今，西安电子科技大学，机电工程学院，副教授
2018年7月～今，西安电子科技大学，机电工程学院，博士生导师
研究兴趣：
多智能体系统的分布式协调与控制
复杂系统的分析与控制
群体行为与群体智能
信息物理系统
人工智能的基础理论
社会兼职：
美国数学评论评论员（119305），中国自动化学会青年工作委员会委员，中国系统仿真学会智能系统建模与仿真专业委员会委员，控制理论专业委员会多智能体系统学组委员，《中国科学：信息科学》客座编辑（不确定信息网络），担任包括IEEE-TAC、Automatica在内的30多个国际期刊审稿人
Google学术主页：https://scholar.google.com.hk/citations?user=AvBuIn8AAAAJ&hl=en

科学研究
主持和参与多项国家自然科学基金等纵向项目研究

学术论文
部分期刊论文：
[40]Z. Zhang，S. Chen*, and Y. Zheng*.Fully distributed scaled consensus tracking of high-order multi-agent systems with time delays and disturbances.IEEE Transactions on Industrial Informatics, 2021, DOI：10.1109/TII.2021.**.(SCI源)
[39] J. Ma,Y. Zheng*, and L. Zhou.Game-based coalescence in multi-agent systems. Systems & Control Letters, 148(2021)104853. (SCI源)
[38]J. Liu, X. Ruan, andY. Zheng*.Iterative learning control for discrete-time systems with full learnability.IEEE Transactions on Neural Networks and Learning Systems, 2020, DOI：10.1109/TNNLS.2020.3028 388.(SCI源)
[37] Y. Zhu, L. Zhou,Y. Zheng*,J. Liu, and S. Chen.Sampled-data based resilient consensus of heterogeneous multi-agent systems.International Journal of Robust and Nonlinear Control, 30(17):7370-7381, 2020.(SCI:001)
[36] M. Ye*，L. Yin，G. Wen，and Y. Zheng.On distributed nash equilibrium computation: hybrid games and anovel consensus-tracking perspective.IEEE Transactions on Cybernetics, 2020，DOI:10.1109/TCYB.2020.** (SCI源)
[35] S. Chen，Z. Zhang*, and Y. Zheng.H∞ scaled consensus for MASs with mixed time delays and disturbances via observer-based output feedback.IEEE Transactions on Cybernetics, 2020, DOI:10.1109/TCYB.2020.**(SCI源)
[34] Y. Zhu, Y. Zheng*， X. Liu, and H. Wang.Fixed-time stability of positive nonlinear systems.Transactions of the Institute of Measurement and Control, 42(15): 2951-2955，2020.(SCI:001)
[33]J. Liu, W. Chen, X. Ruan, andY. Zheng*.Data-based iterative learning mechanism for unknown input-output coupling parameters/matrices.International Journal of Robust and Nonlinear Control, 30(3):1275-1297, 2020.(SCI:023)
[32] Q. Zhao, Y. Zheng*, and Y. Zhu, Consensus of hybrid multi-agent systems with heterogeneous dynamics. International Journal of Control, 93(12): 2848-2858,2020.(SCI:006)
[31] Q. Zhao,Y. Zheng*, J. Ma, and S. Chen,Winner-take-all competition with heterogeneous dynamic agents. Neurocomputing, 374: 42-48,2020.(SCI:005)
[30] Z. Zhang, S. Chen*, and Y. Zheng*.Leader-following scaled consensus of second-order multi-agent systems under directed topologies.International Journal of Systems Science, 50(14): 2604-2615, 2019.(SCI:004)
[29] Y. Zheng*, Q. Zhao, J. Ma, and L. Wang, Second-order consensus of hybrid multi-agent systems. Systems & Control Letters, 125: 51-58, 2019. (SCI:008)
[28] J. Ma, M. Ye, Y. Zheng*, and Y. Zhu, Consensus analysis of hybrid multi-agent systems: a game-theoretic approach. International Journal of Robust and Nonlinear Control, 29(6):1840-1853, 2019.(SCI:013) (封面论文 Cover Image)(ESI高被引论文)
[27] W. Wang, J. Wang, H. Wang, and Y. Zheng*, Consensus of heterogeneous multiagent systems with switching dynamics. Mathematical Problems in Engineering, https://doi.org/10.1155/2018/**, 2018. (SCI:001)
[26] Y. Zhu, S. Li, J. Ma, and Y. Zheng*, Bipartite consensus in networks of agents with antagonistic interactions and quantization, IEEE Transactions on Circuits and Systems II: Express Briefs, 65(12): 2012-2016, 2018. (SCI:041)(ESI高被引论文)
[25] Y. Zheng, J. Ma, and L. Wang*. Consensus of hybrid multi-agent systems. IEEE Transactions on Neural Networks and Learning Systems, 29(4): 1359-1365, 2018 (SCI:048) (ESI高被引论文)
[24] J. Ma, Y. Zheng, and L. Wang*. Nash equilibrium topology of multi-agent systems with competitive groups. IEEE Transactions on Industrial Electronics, 64(6): 4956-4966, 2017. (SCI:064)
[23] Y. Zhu, Y. Zheng*, and Y. Guan. Quantized consensus of second-order multi-agent systems via impulsive control. Neurocomputing, 270：27-33, 2017. (SCI:005)
[22] Y. Zhu, Y. Zheng*, and Y. Guan. Consensus of switched multi-agent systems under quantised measurements. International Journal of Systems Science, 48(9): 1796-1804, 2017. (SCI:002)
[21] X. Lin, and Y. Zheng*. Finite-time consensus of switched multiagent systems. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 47(7): 1535-1545, 2017 (SCI:041) (ESI高被引论文)
[20] G. Jing, Y. Zheng, and L. Wang*. Consensus of multi-agent systems with distance-dependent communication networks. IEEE Transactions on Neural Networks and Learning Systems, 28(11): 2712-2726, 2017. (SC:0004**)
[19] X. Lin, Y. Zheng, and L. Wang*. Consensus of switched multi-agent systems with random networks. International Journal of Control, 90(5): 1113-1122, 2017. (SCI:018)
[18] J. Ma*, Y. Zheng, B. Wu, and L. Wang. Equilibrium topology of multi-agent systems with two leaders: a zero-sum game perspective. Automatica, 73: 200-206, 2016. (SCI:025)
[17] J. Ma, Y. Zheng, and L. Wang*. Topology selection for multi-agent systems with opposite leaders.Systems & Control Letters, 61: 43-49, 2016. (SCI:006)
[16] Y. Zheng*, and L. Wang*. Consensus of switched multi-agent systems. IEEE Transactions on Circuits and Systems II: Express Briefs, 63(3): 314-318, 2016. (SCI:018) (ESI高被引论文)
[15] Y. Zhu, Y. Zheng, and L. Wang*. Containment control of switched multi-agent systems. International Journal of Control, 88(12): 2570–2577, 2015. (SCI:014)
[14] Y. Zhu, Y. Zheng, and L. Wang*. Quantized consensus of heterogeneous multi-agent systems. IET Control Theory and Applications, 9(17): 2553–2560, 2015. (SCI:009)
[13] J. Ma, Y. Zheng, and L. Wang*. LQR-based optimal topology of leader- following consensus. International Journal of Robust and Nonlinear Control, 25(17): 3404–3421, 2015. (SCI:013) (ESI热点论文)
[12] Y. Zheng, and L. Wang*. A novel group consensus protocol for heterogeneous multi-agent systems. International Journal of Control, 88(11): 2347–2353, 2015. (SCI:014)
[11] Y. Zhu, Y. Zheng*, and L. Wang. Quantized consensus of multi-agent systems with nonlinear dynamics. International Journal of Systems Science, 46(11): 2061–2071, 2015. (SCI:013)
[10] 马婧瑛，郑元世，王龙. 多智能体系统的性能优化. 系统科学与数学，35（3）：270-286，2015.
[9] C. Shi, Y. Zheng, H. Qiu*, and J. Wang. Nonlinear gossip algorithms for wireless sensor networks. Journal of Applied Mathematics, Article ID 170748, 7 pages, http://dx.doi.org/10.1155/2014/170748, 2014. (SCI:001)
[8] G. Jing, Y. Zheng, and L. Wang*. Flocking of multi-agent systems with multiple groups. International Journal of Control, 87(12): 2573-2582, 2014. (SCI:011)
[7] Y. Zheng, Y. Zhu, and L. Wang*. Finite-time consensus of multiple second-order dynamic agents without velocity measurements. International Journal of Systems Science, 45(3): 579–588, 2014. (SCI:022)
[6] Y. Zheng*, and L. Wang. Containment control of heterogeneous multi-agent systems. International Journal of Control, 87(1): 1–8, 2014. (SCI:001) (ESI高被引论文)
[5] Y. Zheng*, and L. Wang. Distributed consensus of heterogeneous multi-agent systems with fixed and switching topologies. International Journal of Control, 85(12): 1967–1976, 2012. (SCI:013)
[4] Y. Zheng, and L. Wang*. Finite-time consensus of heterogeneous multi-agent systems with and without velocity measurements. Systems & Control Letters, 61(8): 871–878, 2012. (SCI:008) (ESI高被引论文)
[3] Y. Zheng*, and L. Wang. Consensus of heterogeneous multi-agent systems without velocity measurements. International Journal of Control, 85(7): 906–914, 2012. (SCI:011)
[2] Y. Zheng*, Y. Zhu, and L. Wang. Consensus of heterogeneous multi-agent systems. IET Control Theory and Applications, 5(16): 1881–1888, 2011. (SCI:007) (ESI高被引论文)
[1] Y. Zheng*, W. Chen, and L. Wang. Finite-time consensus for stochastic multi-agent systems. International Journal of Control, 84(10): 1644–1652, 2011. (SCI:005)
部分会议论文：
[C4] Yuanshi Zheng.Recent advances in cooperative control of hybrid multi-agent systems.35th Youth Academic Annual Conference of Chinese Association of Automation, Zhanjiang, China, October 16-18, .2020. (Invited talk)
[C3] J. Ma, Y. Zheng, and L. Wang. Optimal topology selection for leader-following multi-agent systems with opposite leaders. in 34rd Chinese Control Conference, Hangzhou, China, 2015, 7344–7349.
[C2] J. Ma, H. Wang, Y. Zheng, and L. Wang. Optimal control of first-order multi-agent systems with leaders. in International Conference on Mechatronics and Control, Jinzhou, China, 2014, 607–611.
[C1] G. Jing, Y. Zheng, and L. Wang. Group flocking of multiple mobile agents. in 33rd Chinese Control Conference, Nanjing, China, 2014, 1156–1161.

荣誉获奖
12. 2020年度江西省自然科学奖（3/3）
11.2020年Journal of the FranklinInstitute杰出审稿人（1/1）
10. 2020年北京地区广受关注学术论文奖（1/3）
9. 2019年度《控制理论与应用》优秀审稿人奖（1/1）
8. 2019年第十五届宁夏自然科学优秀学术论文一等奖（3/4）
7. 2018年陕西省高校“青年杰出人才支持计划”（1/1）
6. 2017年国家自然科学二等奖（5/5）
5. 2017年Journal of the FranklinInstitute杰出审稿人（1/1）
4.陕西省科协2016年青年人才托举计划入选者（1/1）
3. 2015教育部自然科学一等奖（4/7）
2. 2015年中国智能物联系统会议最佳论文奖（2/3）
1. 2013年IET-CTA 杰出审稿人（1/1）

科研团队
团队教师

博士研究生：
赵琦（2019年春入学）
周丽琪（2020年春入学）
王嘉敏（2021年春入学）
硕士研究生：
赵琦（2017年入学，2018学年“优秀研究生”，2019年转博）；
张鹏飞（2018年入学，中电54所）、张瑜玲（2018年入学，2020年转博）、周丽琪（2018年入学，2020年转博）；
陈亚蕊（2019年入学）、王嘉敏（2019年入学，2021年转博）、吴佳慧（2019年入学）、张苗苗（2019年入学）、周立凯（2019年入学）
吴立鹏（2020入学）、许永能（2020入学）、张雪芹（2020入学）、郑柯（2020入学）

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目前本人承担的教学任务：线性代数、离散数学
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