周佳玲 - 北京理工大学 - 前沿交叉科学研究院

个人简介

教育和工作经历博士 2012-2017，北京大学，力学系统与控制专业本科 2008-2012，北京交通大学，自动化专业副教授 2021-2023，南京理工大学讲师 2017-2021，南京理工大学访问学者 2019-2020，皇家墨尔本理工访问学者 2019-2019，香港城市大学主持项目国家自然科学基金项目中国科协青年人才托举工程项目江苏省自然科学基金项目获奖中国科协青年人才托举工程获得者中国指挥与控制学会科学技术进步一等奖 IEEE ICUS 会议最佳论文奖日内瓦国际发明展金奖 IEEE ICCSS 会议 Lotfi A. Zadeh 最佳论文奖 Asian Journal of Control期刊杰出审稿人江苏省双创博士

研究领域

协同制导与控制群智协同控制与优化集群博弈

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

J. Zhou and J. Yang, Distributed guidance law design for cooperative simultaneous attack with multiple missiles, Journal of Guidance, Control and Dynamics, 2016, 39(10): 2439-2447. J. Zhou and J. Yang, Smooth sliding mode control for missile interception with finite-time convergence, Journal of Guidance, Control, and Dynamics, 2015, 38(7): 1311-1318. J. Zhou and J. Yang, Guidance law design for impact time attack against moving targets, IEEE Transactions on Aerospace and Electronic Systems, 2018, 54(5): 2580-2589. J. Zhou, Y. Lv, C. Wen and G. Wen, Solving specified-time distributed optimization problem via sampled-data-based algorithm, IEEE Transactions on Network Science and Engineering, 2022, 9(4): 2747-2758. J. Zhou, Y. Lv, G. Wen, J. Lü and D. Zheng, Distributed Nash equilibrium seeking in consistency-constrained multi-coalition games, IEEE Transactions on Cybernetics, doi: 10.1109/TCYB.2022.3155687 J. Zhou, Y. Lv, G. Wen, and G. Chen, Terminal-time synchronization of multi-vehicle systems under sampled-data communications, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022, 52(4): 2625-2636. J. Zhou, Y. Lv, G. Wen, and X. Yu, Resilient consensus of multi-agent systems under malicious attacks: An appointed-time observer-based approach, IEEE Transactions on Cybernetics, 2022, 52(10): 10187-10199. G. Wen, Y. Lv, W. X. Zheng, J. Zhou and J. Fu, Joint Robustness of Time-Varying Networks and Its Applications to Resilient Consensus, IEEE Transactions on Automatic Control, doi: 10.1109/TAC.2023.3237493. J. Zhou, J. Yang, and Z. Li, Simultaneous attack of a stationary target using multiple missiles: a consensus-based approach, Science China Information Sciences, 2017, 60(7): 070205. Y. Lv, J. Zhou, G. Wen, X. Yu, and T. Huang, Fully distributed adaptive NN-based consensus protocol for nonlinear MASs: An attack-free approach, IEEE Transactions on Neural Networks and Learning Systems, 2022, 33(4): 1561-1570.