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陈辞

博士生导师
硕士生导师
教师拼音名称:Chen Ci
所在单位:自动化学院
职称:教授
在职信息:在职
所属院系:自动化学院
其他联系方式

邮箱:

个人简介

陈辞,国家高层次青年人才项目获得者;教授、博士生导师、自控系主任;入选广东工业大学百人特聘教授、校学术与学位委员会分学部委员。曾在美国德克萨斯大学阿灵顿分校、美国田纳西大学诺克斯维尔、新加坡南洋理工大学、瑞典隆德大学学习工作。获瑞典瓦伦堡基金会与新加坡南洋理工大学联合冠名基金项目。主持科技部高端外国专家项目。研究成果获广东省自然科学一等奖、中国自动化学会科技进步特等奖。研究领域包括:强化学习反馈控制、弹性控制、网络化系统及其应用。


担任期刊IEEE Transactions on Neural Networks and Learning Systems的Associate Editor,International Journal of Robust and Nonlinear Control的Subject Editor以及Advanced Control for Applications的Associate Editor。2019年获瑞典瓦伦堡基金会与新加坡南洋理工大学联合冠名基金项目Wallenberg-NTU Presidential Postdoctoral Fellowship. https://www.ntu.edu.sg/research/research-careers/presidential-postdoctoral-fellowship-(ppf)/wallenberg-ntu-ppf-2019-2021


欢迎对相关研究方向感兴趣的本/硕/博同学与我联系:ci.chen@gdut.edu.cn。

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2022年指导学生至今,学生一作论文如下:

[1] Chengjie Huang(学生), Ci Chen*, Kan Xie, Frank L. Lewis, Shengli Xie, Specified Convergence Rate Guaranteed Output Tracking of Discrete-Time Systems Via Reinforcement Learning", Automatica, Accepted, 2023

[2] Yuzhe Chen(学生), Ci Chen*, Kan Xie, Frank L. Lewis, “Online Policy Iteration Algorithms for Linear Continuous-Time H-Infinity Regulation With Completely Unknown Dynamics", IEEE Transactions on Automation Science and Engineering, Accepted, 2023

[3] Zhiyang Zheng(学生), Ci Chen*, Kan Xie, Zhenni Li, Shengli Xie,  “Event-Triggered Synchronization Adaptive Learning Control of Nonlinear Multi-agent Systems With Resilience to Communication Link Faults", Neural Computing and ApplicationsAccepted, 2023

[4] Yahang Qin(学生)†Chengye Zhang(学生)†, Ci Chen*, Shengli Xie, and Frank L Lewis, “Control Policy Learning Design for Vehicle Urban Positioning Via BeiDou Navigation,” Journal of Systems Science and Complexity, Accepted. 2023

[5] Chengye Zhang(学生), Ci Chen*, and Shengli Xie, “Learning-based Prescribed Rate Design for Output Regulation of Discrete-time Systems,” 2023 35th Chinese Control and Decision Conference (CCDC), pp. 2738–2744, 2023.

[1] Chengjie Huang(学生), Ci Chen*, Kan Xie, Zhenni Li, Shengli Xie, Adaptive Output Synchronization with Designated Convergence Rate of Multi-agent Systems Based on Off-Policy Reinforcement Learning", IEEE Transactions on Systems, Man, and Cybernetics: Systems, Accepted, 2024


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Dr. Ci Chen works in reinforcement learning for feedback control and resilient control of autonomous systems. He has published over 40 journal papers with more than half of the papers in top journals such as IEEE Transactions on Automatic Control, Automatica, and IEEE Transactions on Neural Networks and Learning Systems. 


Dr. Chen is a professor with the Guangdong University of Technology, Guangzhou, China. He is an awardee of National Science Fund for Excellent Scholars (Overseas) from the National Natural Science Foundation of China. He was awarded Wallenberg - NTU Presidential Postdoctoral Fellowship by Nanyang Technological University (NTU, Singapore) and the Swedish Wallenberg-funded research program WASP (Wallenberg AI, Autonomous Systems and Software Program). https://www.ntu.edu.sg/research/research-careers/presidential-postdoctoral-fellowship-(ppf)/wallenberg-ntu-ppf-2019-2021


Dr Chen has been serving as an Associate editor of IEEE Transactions on Neural Networks and Learning Systems, an Editor of International Journal of Robust and Nonlinear Control, and an Associate Editor of Advanced Control for Applications. He is a member of the Chinese Association for Artificial Intelligence. 


Research keywords: reinforcement learning, adaptive/approximate dynamical programming, adaptive systems, cooperative learning systems, resilient systems


Email: ci.chen@gdut.edu.cn  Website: https://teacher.gdut.edu.cn/chen/    


教育经历

[1] 2007.9——2011.6
广东工业大学 > 工学学士学位 > 本科
[2] 2013.9——2016.6
广东工业大学 > 工学博士学位 > 博士研究生毕业

工作经历

[1] 2021.6-至今
广东工业大学
[2] 2020.9-2021.6
瑞典隆德大学
[3] 2018.12-2020.8
新加坡南洋理工大学
[4] 2018.5-2018.9
美国田纳西大学诺克斯维尔分校
[5] 2016.8-2018.5
美国德克萨斯大学阿灵顿分校
[6] 2015.10-2016.1
新加坡南洋理工大学

社会兼职

[1] 2018.8-至今
担任国际期刊《International Journal of Robust and Nonlinear Control》的Subject Editor
[2] 2018.9-至今
担任国际期刊《Advanced Control for Applications》的Associate Editor

团队成员
团队名称:智能信息处理团队

团队介绍:团队负责人:谢胜利教授。系全国首批黄大年式教师团队、教育部创新团队,主要从事大数据分析、模式识别、人工智能、生物医学信号处理、北斗PNT技术、工业物联网、离散制造等方面的研究。欢迎专家与学者的交流合作。

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