Chen Ci
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- 教授
- Supervisor of Doctorate Candidates
- Supervisor of Master's Candidates
- Name (Pinyin):Chen Ci
- School/Department:自动化学院
- Professional Title:教授
- Status:On-the-job
- Teacher College:School of Automation
Contact Information
- Email:
- Profile
- Research Focus
- Honors & Awards
- Social Affiliations
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"百人计划"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。主要研究领域包括强化学习反馈控制、弹性/韧性控制、非线性执行机构控制及其在机器人北斗导航与操作中的应用。
主持国家自然科学基金面上项目、国家科技部高端外国专家项目、广东省级校企联合实验室项目(机器人及智能制造技术)、广东省自然科学基金面上项目等国家/省部级基金项目;曾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(录取率~3%,https://www.ntu.edu.sg/research/research-careers/presidential-postdoctoral-fellowship-(ppf)/wallenberg-ntu-ppf-2019-2021)。研究成果获粤港澳大湾区人工智能与自动化学会自然科学一等奖(排名第1)、中国自动化学会科技进步特等奖(排名第6)、日内瓦国际发明展银奖(排名第3)。
以第一作者或通讯作者身份,在《国家科学进展》(强化学习方向)、《美国国家科学院院刊》子刊 PNAS Nexus(北斗导航方向)、Automatica、IEEE Transactions on Automatic Control(IEEE TAC)等国际顶级期刊发表论文60余篇。其中,在控制领域两大顶尖期刊IEEE TAC和Automatica上共发表论文19篇(均为第一作者或通讯作者)。研究成果获中国科技报、中国科学出版社、中国教育电视台1频道、美国科学促进会平台EurekAlert!、国际技术工程平台TechXplore及澳大利亚最新动态发布平台MirageNews等国内外知名媒体报道。
担任人工智能国际期刊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;担任多个国际会议(ICARCV, CAC, FASTA, ECNCT, ICCEIC, etc)的Associte Editor, Co-Chair, Technical Program Committee Chair, Organizing Committee Chair等学术职位。
培育1名博士入选2025年国家级博士后海外引才计划;2名学生入选2025年中国科协青年科技人才培育工程博士生专项计划。此外,在2023至2025年间,学生累计4人次获得国家研究生奖学金。指导研究生以第一作者发表《美国国家科学院院刊》子刊 PNAS Nexus、IEEE TAC(full paper)、Automatica(regular paper)、IEEE TIE、IEEE TITS、IEEE TASE、IEEE TC、IEEE TSMCA等系列论文;指导的研究生一作论文入选《Unmanned Systems》编辑精选Editor Highlight。
研究依托平台:国家111学科创新引智基地(基于物联网技术的离散制造智能化)、教育部重点实验室(物联网智能信息处理与系统集成)、广东省重点实验室(智能系统与优化集成)等。
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。

2022年指导学生至今,部分学生论文如下:
[1] Y. Chen(学生), C. Chen*, F. L. Lewis, S. Xie, Multiplayer Cascaded Policy Iteration for Nash Differential Games, IEEE Transactions on Automatic Control, Full Paper 2025 accepted
[2] Z. Zheng(学生), Y. Chen(学生), Z. Gao(学生), J. Qiu(学生), C. Chen*, A distributed observer design for linear system synchronization over corrupted graph communication, International Journal of Robust and Nonlinear Control, accepted 2025.6
[3] C. Huang(学生), C. Chen*, K. Xie, F. L. Lewis, and S. Xie, "Specified Convergence Rate Guaranteed Output Tracking of Discrete-Time Systems Via Reinforcement Learning", Automatica, Accepted, 2023
[4] Y. Chen(学生), C. Chen*, K. Xie, and F. 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
[5] C. Zhang(学生), C. Chen*, F. L. Lewis, and S. Xie, Policy Iteration-Based Learning Design for Linear Continuous-Time Systems Under Initial Stabilizing OPFB Policy, IEEE Transactions on Cybernetics, 2024
[6] Y. Qin(学生)†, C. Zhang(学生)†, C. Chen*, S. Xie, and F. L Lewis, “Control Policy Learning Design for Vehicle Urban Positioning Via BeiDou Navigation,” Journal of Systems Science and Complexity, Accepted. 2023
[7] C. Huang(学生), C. Chen*, K. Xie, Z. Li, and S. 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
[8] Z. Zheng(学生), C. Chen*, K. Xie, Z. Li, and S. Xie, “Event-Triggered Synchronization Adaptive Learning Control of Nonlinear Multi-agent Systems With Resilience to Communication Link Faults", Neural Computing and Applications, Accepted, 2023
[9] C. Zhang(学生), C. Chen*, and S. 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.
[10] S. Lei(学生), C. Zhang(学生), X. Gu*, J. Qiu(学生), Z. Gao(学生), Ci Chen*, Learning-based Robust Control Policy Design for Vehicular Navigation via Ultra-wideband Communication, Unmanned Systems, 2025 入选编辑精选Editor Highlight
[11] Z. Gao(学生); J. Qiu(学生); Z. Zheng(学生); W. Zhong; C. Chen*, Locality in Gramian Observation for Complex Networked Systems, Joint International Conference on Automation-Intelligence-Safety (ICAIS) & International Symposium on Autonomous Systems (ISAS), 2025
[12] C. Chen*, Z. Zheng(学生), F. L. Lewis, K. Xie, S. Xie, Solo Adaptation for Distributed Synchronization With Application to Event-Triggered Linear Multi-agent Systems, IEEE Transactions on Automatic Control, 2025
[13] L. Li(学生), Y. Chen(学生), C. Chen*, Policy Iteration-Based Learning Designs for Linear Systems With Prescribed Performance, Encyclopedia of Systems and Control Engineering, Elsevier, 2025
[14] H. Guo(学生), M. Abu-Khalaf, Z. Zheng(学生), J. Gao*, F. L. Lewis, and C. Chen*, Perception-based Feedback Tracking via Scalarized Pixel Data of Visual Frames, IEEE Transactions on Intelligent Transportation Systems, accepted 2025.9
[15] C. Zhang(学生), C. Chen*, F. L. Lewis, K. Xie, and S. Xie*, Prescribed-Rate Target Tracking for Time-Delayed Systems Using Output Measurements, Neural Networks, accepted 2025.10
[16] Y. Chen(学生), C. Chen*, J. Kang, F. L. Lewis, S. Xie, Output-Feedback Homotopy-Based Policy Iteration for Performance Assurance of Unknown Linear Continuous-Time Systems, IEEE Transactions on Automatic Control, accepted 2025.7
[17]. J. Qiu(学生), Ci Chen*, S. Lei(学生), Y. Lyu, S. Xie*, Enhancing BeiDou/GNSS integrity with minmax optimization, 美国科学院院刊PNAS子刊(PNAS Nexus), 2025, 4(11), pgaf366.
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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 National Science Open, IEEE Transactions on Automatic Control, Automatica, and IEEE Transactions on Neural Networks and Learning Systems. His research has been featured in prominent media outlets, including China Science Daily, EurekAlert! | AAAS, Bioengineer.org, and TechXplore, among others.
Dr. Chen is a professor with the Guangdong University of Technology, Guangzhou, China. He is an awardee of the First Prize for Natural Sciences, Guangdong-Hongkong-Macao Greater Bay Area Society of Artificial Intelligence & Automation, and the Special Prize for Scientific and Technological Progress, Chinese Association of Automation. 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/
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- 担任国际期刊《IEEE Transactions on Neural Networks and Learning Systems》的Associate Editor
- 担任国际期刊《International Journal of Robust and Nonlinear Control》的Subject Editor,2018.8-Now
- 担任国际期刊《Advanced Control for Applications》的Associate Editor,2018.9-Now
Education Background
1.2007.9-2011.6
Guangdong University of Technology | 工学学士学位 | Undergraduate
2.2013.9-2016.6
Guangdong University of Technology | Doctor of Engineering | PhD
Positions & Employments
1.2021.6-Now
Guangdong University of Technology
2.2020.9-2021.6
Lund University, Sweden
3.2018.12-2020.8
Nanyang Technological University, Singapore
4.2018.5-2018.9
The University of Tennessee, Knoxville, USA
5.2016.8-2018.5
The University of Texas at Arlington, USA
6.2015.10-2016.1
Nanyang Technological University, Singapore
Courses
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Research Group
1.Name of Research Group:智能信息处理团队
Description of Research Group: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。
