戴明哲 - 中南大学 - 航空航天学院

个人简介

戴明哲，工学博士，现任职于中南大学自动化学院，2019年4月毕业于哈尔滨工业大学航天学院。主要研究方向：（1）群体智能分布式协同；（2）航天器姿轨动力学与智能控制；（3）无人机目标检测、跟踪与协同控制。先后主持和参与国家自然科学基金、湖南省自然科学基金、国家重大科学仪器设备开发专项、国家重点研发计划子课题、航天院所科研委托项目等多项。在 IEEE Trans. Aerosp. Electron. Syst., IEEE Trans. Syst., Man, Cybern., Syst., IEEE Trans. Cybern., IEEE Trans. Circuits Syst. II, Exp. Briefs, Int. J. Robust Nonlinear Control, Int. J. Control, Aerosp. Sci. Technol.等知名国际SCI期刊发表论文近四十篇（一作/通信论文近30余篇），授权国家发明专利7项。受邀担任国家自然科学基金委员会通讯评议专家，受邀担任SCI期刊Applied Sciences(Impact Factor: 2.7, JCR Q2)客座编委，受邀担任包括IEEE Trans. Autom. Control, IEEE Trans. Aerosp. Electron. Syst., IEEE Trans. Cybern. 在内20多个高水平期刊审稿专家教育经历 2014.9-2019.4 哈尔滨工业大学控制科学与工程博士学位博士研究生毕业 2012.9-2014.7 哈尔滨工程大学光学工程硕士学位硕士研究生毕业 2007.9-2011.7 哈尔滨工程大学探测制导与控制技术学士学位大学本科毕业工作经历 2022.4-至今中南大学自动化学院讲师 2019.7-2022.4 中南大学航空航天学院讲师

研究领域

[1] 群体智能分布式协同 [2] 航天器姿轨动力学与智能控制 [3] 无人机目标检测、跟踪与协同控制

近期论文

查看导师最新文章（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）

[1]Ming-Zhe Dai,Bing Xiao,Chengxi Zhang,Jin Wu.Event-Triggered Policy to Spacecraft Attitude Stabilization With Actuator Output Nonlinearities.[J]:IEEE Transactions on Circuits and Systems II: Express Briefs,2021 [2]Chengxi Zhang,Ming-Zhe Dai*,Peng Dong,Henry Leung,Jihe Wang.Fault-Tolerant Attitude Stabilization for Spacecraft with Low-Frequency Actuator Updates: An Integral-Type Event-Triggered Approach.[J]:IEEE Transactions on Aerospace and Electronic Systems,2020 [3]Ming-Zhe Dai, Feng Xiao, Bo Wei.Consensus analysis for leader-following multi-agent systems with second-order individual dynamics and arbitrary sampling.[J]:Internat. J. Robust Nonlinear Control,2017,27(18):4348-4362 [4]Ming-Zhe Dai, Feng Xiao.Event- and self-triggered consensus for double-integrator networks with relative state measurements,.[J]:International Journal of Control,2018(https://doi.org/10.1080/00207179.2018.1500038) [5]Ming-Zhe Dai, Feng Xiao.Edge-event- and self-triggered synchronization of coupled harmonic oscillators with quantization and time delays.[J]:Neurocomputing,310(8):172-182 [6]Ming-Zhe Dai, Feng Xiao, Bo Wei.Event-triggered and quantized self-triggered control for multi-agent systems based on relative state measurements.[J]:Journal of The Franklin Institute,2019,356(6):3711-3732 [7]Weizhong Chen,Ming-Zhe Dai*,Chaoxu Guan,Zhongyang Fei.Extended dissipativity of semi-Markov jump neural networks with partly unknown transition rates.[J]:Neurocomputing,2020 [8]Jie Liu,Ming-Zhe Dai*,Chengxi Zhang,Jin Wu.Edge-Event-Triggered Synchronization for Multi-Agent Systems With Nonlinear Controller Outputs.[J]:Applied Sciences,2020 [9]Bo Wei, Feng Xiao, Ming-Zhe Dai.Edge event-triggered synchronization in networks of coupled harmonic oscillators.[J]:IEEE Transactions on Cybernetics,2017,47(12):4162-4168, [10]Chengxi Zhang,Jin Wu,Ming-Zhe Dai,Bo Li,Mingjiang Wang.Event- and self-triggered control of attitude coordination to multi-spacecraft system:Aircraft Engineering and Aerospace Technology,2020 [11]Bo Wei, Feng Xiao, Ming-Zhe Dai.Edge event-triggered control for multi-agent systems under directed communication topologies.[J]:International Journal of Control,2017,91(4):887-896 [12]Ming-Zhe Dai, Feng Xiao, Bo Wei.Asynchronous Edge-Event-Triggered Synchronization of Coupled Harmonic Oscillators With Quantization.[C]:the 36th Chinese Control Conference,2017:8425-8430 [13]Bo Wei, Feng Xiao, Ming-Zhe Dai.Adaptive control for multi-agent systems with vanishing coupling gains.[C]:IFAC 2017 World Congress,2017:2477-2481