Xia Yuanqing is a professor, President of Zhongyuan University of Technology, Chair Professor at Beijing Institute of Technology, recipient of the National Science Fund for Distinguished Young Scholars, Changjiang Distinguished Professor of the Ministry of Education, leading talent of the National "Ten Thousand Talents Program," Zhongyuan Scholar, IEEE Fellow, CAA Fellow, and an expert receiving the State Council Special Allowance. He serves as a member of the Eighth Discipline Appraisal Group for Control Science and Engineering of the Academic Degrees Committee of the State Council, a member of the Big Data Expert Committee of the China Computer Federation, Vice Chair of the IoT Working Committee of the China Instrument and Control Society, Director of the Cloud Control and Decision Committee of the China Command and Control Society, and Deputy Director of the National Key Laboratory of Space-Based Intelligent Information Processing.
He has long been engaged in research on information processing and control for complex multi-source information systems, aircraft control, cooperative control of unmanned mobile platforms, cross-domain cooperative control and intelligent decision-making for multi-agent motion systems in integrated space-air-ground-sea networks, and cloud control and decision-making. He has undertaken a number of national-level projects, including National Key R&D Program projects, key projects of the National Natural Science Foundation of China, and 973 Program projects. He was the first internationally to propose the concept of "cloud control" and established the related theoretical and technical system, empowering manned and unmanned systems across space, air, ground and sea, as well as intelligent manufacturing. His achievements have substantially improved sensing, decision-making and control performance. He has received one Second Prize of the National Science and Technology Progress Award, two Second Prizes of the Ministry of Education Natural Science Award, one Second Prize of the Beijing Natural Science Award, two Second Prizes of the Beijing Science and Technology Award, two Third Prizes of the National Defense Science and Technology Progress Award, one First Prize and one Second Prize of the Wu Wenjun Artificial Intelligence Natural Science Award, one First Prize of the Natural Science Award and one First Prize of the Science and Technology Progress Award of the Chinese Association of Automation, and one First Prize of the Science and Technology Award of the China Command and Control Society. He has published more than 1,000 academic papers, including more than 800 indexed by SCI, applied for over 100 invention patents, and published 25 Chinese and English monographs. His papers have received over 40,000 citations. Since 2014, he has been continuously listed among Elsevier's Highly Cited Chinese Researchers and has been included in Stanford University's list of the world's top 2% scientists for career-long impact. He has also received honors such as "2024 Most Beautiful Science and Technology Worker of Henan Province" and "2025 ACM China Distinguished Scholar."
Education and research experience:
1. October 2023: President, Zhongyuan University of Technology
2. June 2016: Chair Professor, Beijing Institute of Technology
3. January 2012: Xu Teli Distinguished Professor, Beijing Institute of Technology
4. June 2008: Professor and doctoral supervisor, Beijing Institute of Technology
5. November 2003-February 2004: Postdoctoral researcher, Department of Electrical and Computer Engineering, National University of Singapore
6. December 2001-November 2003: Postdoctoral researcher, Institute of Systems Science, Academy of Mathematics and Systems Science, Chinese Academy of Sciences
7. September 1998-December 2001: Ph.D. in Control Theory and Control Engineering, Seventh Research Division, Beihang University
Research directions:
Responding to the major demand for large-scale coordinated operation of cross-domain autonomous platforms, his research focuses on the hierarchical collaborative architecture of cloud-network-edge-terminal systems, multi-source heterogeneous information fusion, and cloud-based intelligent decision-making. He carries out research on key theories, methods, and system-level engineering verification of cloud control. With integrated collaborative cloud control across space, air, ground and sea/water as the core feature, he develops integrated technical systems for cross-domain sensing, cooperative decision-making and coordinated control for heterogeneous platforms such as satellites, UAVs, unmanned vehicles, unmanned surface vehicles, robotic dogs and humanoid robots, supporting safe, reliable and efficient collaboration under multi-platform, multi-task and multi-network conditions.
The main research directions include the following aspects:
1. Cloud-network-edge-terminal collaborative cloud control
2. Intelligent optimization and cooperative decision-making
3. Collaborative cloud control of multi-domain heterogeneous unmanned systems
4. Multi-source information fusion, localization and perception
5. Security and trustworthiness of cloud control systems
6. Dynamic cloud and cloud control systems
7. Digital twins and engineering verification/evaluation systems
Academic Research Projects：
1. Key Project of the NSFC Joint Fund: Theory and Methods of Cloud Control and Decision-Making for Urban Connected Traffic, 2026.01-2029.12, Principal Investigator
2. Beijing Natural Science Foundation-Haidian Original Innovation Joint Fund: Agile Sensing Methods and Key Technologies for Efficient Encoding of Feature Data in Large Urban Traffic Scenarios for Vehicle-Road-Cloud Integration, 2025.07-2028.06, Principal Investigator
3. National Key R&D Program Topic: Research on Drag-Free Control Methods and Technologies for Multi-Reference-Mass Space Gravitational Wave Detection, 2022.01-2025.12, Principal Investigator
4. Key Project of the National Natural Science Foundation of China: Theories and Methods of Intelligent Sensing, Processing, Decision-Making and Control for Complex Industrial Manufacturing Processes, 2019.01-2023.12, Principal Investigator
5. National Key R&D Program Project: Data-Driven Intelligent Management Technologies and Platform for Cloud Data Centers, 2018.05-2021.04, Principal Investigator
6. NSFC Key International Cooperation and Exchange Project: Graph-Theoretic and Object-Oriented Analysis and Design Methods for Multi-UAV Cooperative Control Systems and Application Verification, 2018.01-2022.12, Principal Investigator
7. Key Project of the Beijing Natural Science Foundation: Establishment of a Cloud Data Center for Parkinson’s Disease Patient Management, 2017.12-2019.06, Principal Investigator
8. Key Project of the Beijing Natural Science Foundation: Fundamental Problems and Key Technologies of Networked Teleoperation Robots for Minimally Invasive Spinal Surgery, 2016.01-2019.12, Principal Investigator
9. National Science Fund for Distinguished Young Scholars: Fundamental Theories and Methods for Control of Complex Multi-Source Information Systems, 2013.01-2016.12, Principal Investigator
10. National Natural Science Foundation of China: Analysis and Synthesis of Networked Control Systems Based on Data Fusion, 2010.01-2012.12, Principal Investigator
Awards：
1. Second Prize of the National Science and Technology Progress Award, 1 item
2. Third Prize of the National Defense Science and Technology Progress Award, 2 items
3. Second Prize of the Beijing Natural Science Award, 1 item
4. Second Prize of the Beijing Science and Technology Award, 2 items
5. Second Prize of the Henan Science and Technology Progress Award, 1 item
6. First Prize of the Henan National Defense Science and Technology Progress Award, 1 item
7. Second Prize of the Ministry of Education Natural Science Award, 2 items
8. Wu Wenjun Artificial Intelligence Natural Science Award: one First Prize and one Second Prize
9. Chinese Association of Automation: two First Prizes of the Science and Technology Progress Award and one First Prize of the Natural Science Award
10. First Prize of the Science and Technology Award of the China Command and Control Society, 1 item
Books：
1. Xia Yuanqing, Zhan Yufeng, Sun Lifeng et al., Intelligent Management Technology and Applications for Large-Scale Cloud Data Centers, Science Press, 2024.
2. Xia Yuanqing, Theory and Applications of Cloud Control and Decision-Making, Science Press, 2021.
3. Xia Yuanqing, Li Chunming, Sun Zhongqi, Sha Deshang, Modern Strong Disturbance Rejection Control Technology for Tanks, Beijing Institute of Technology Press, 2021.
4. Xia Yuanqing, Navigation, Guidance and Control in the Entry, Descent and Landing Process of Mars Probes: The "Terrifying" Seven Minutes, Science Press, 2018.
5. Yuanqing Xia, Jinhui Zhang, Kunfeng Lu and Ning Zhou, Finite Time and Cooperative Control of Flight Vehicles, Springer, 2019.
Representative Papers and Patents：
[1] Y. Deng, Y. Xia*, Z. Sun, C. Li and R. Hu, Weak loss convexification for sequential convex programming, IEEE Transactions on Aerospace and Electronic Systems, 2025, 61(02): 4020-4029.
[2] J. Yan, Y. Xia*, X. Wang, L. Ma, Power and bit scheduling of Markov jump systems with convergence rate as an optimization index, Automatica, 2025, 175: 112199.
[3] Y. Zhang, Y. Xia*, G. Wang, Rank resilience of pattern matrices against structured perturbations with applications, Automatica, 2025,176: 112236.
[4] D. Yu, Y. Xia*, D.-H. Zhai, Y. Zhang, Decentralized estimation for linear complex networks with multi-level quantization, Automatica, 2025, 179: 112401.
[5] W. Zhao, Y. Xia*, D.-H. Zhai, Z. Sun and Y. Zhang, Event-triggered formation control of unknown autonomous underwater vehicles subject to arbitrarily large time-varying communication delays, IEEE Transactions on Vehicular Technology, 2025, 22: 3901-3912.
[6] S. Yan, Y. Xia* and D.-H. Zhai, Independent observers-based fault diagnosis for multiple sensor faults of full-vehicle active suspension systems with inaccurate models, IEEE Transactions on Automation Science and Engineering, 2025, 74(03): 12358-12370.
[7] Y. Deng, Y. Xia*, Z. Sun, L. Dai and B. Cui, Distributed MPC for cooperative tracking periodic references of heterogeneous systems, IEEE Transactions on Automation Science and Engineering, 2025: 1233-1248.
[8] Y. Zhang, Y. Xia and Y. Zhan, Total Unimodularity and Strongly Polynomial Solvability of Constrained Minimum Input Selections for Structural Controllability: An LP-Based Method, IEEE Transactions on Automatic Control, vol. 69, no. 1, pp. 387-394, Jan. 2024.
[9] Y. Deng, Y. Xia, Z. Sun, C. Li and R. Hu, MPC for Linear Systems with Concave Inequality Constraints and Convexification Loss Analysis, in IEEE Transactions on Automatic Control, vol. 70, no. 9, pp. 6135-6142, Sept. 2025.
[10] Y. Zhang, Y. Xia and K. Liu, Observability Robustness Under Sensor Failures: A Computational Perspective, IEEE Transactions on Automatic Control, vol. 68, no. 12, pp. 8279-8286, Dec. 2023.
Patents：
[1] Zhai Dihua; Wang Yongkang; Xia Yuanqing; Li Xiaoge; Zhan Yufeng, A federated learning image classification method capable of defending against Byzantine attacks, China: CN117218444B, 2025.11.21;
[2] Xia Yuanqing; Sun Zhihang; Zhan Yufeng; Dai Li et al., A virtual coupling strategy and model predictive control method for train operation, China: CN115524975B, 2025.10.28;
[3] Yan Liping; Dong Bolei; Xia Yuanqing; Zhai Dihua; Cui Bing, A distributed formation control method for multi-agent systems based on a hybrid event-triggered mechanism, China: CN119536266B, 2025.10.03;
[4] Xia Yuanqing; Yan Jingjing; Wang Xinjing et al., A joint power and bit-rate scheduling method for minimizing convergence rate and energy consumption, China: CN119902594B, 2025.09.26;
[5] Zou Weidong; Xia Yuanqing, An image classification method based on a deep learning cascaded optimizer, China: CN119445238B, 2025.09.26;
[6] Zhai Dihua; Niu Songyu; Xia Yuanqing; Zhan Yufeng, An EEG signal recognition method based on PLSR and extended FBCCA, China: CN116680544B, 2025.09.26;
[7] Zou Weidong; Xia Yuanqing; Li Huifang et al., An image classification method based on a deep learning optimizer, China: CN117115501B, 2025.09.16;
[8] Pan Zhenhua; Xia Yuanqing; Yu Tingting et al., A self-healing control method for UAV swarms under individual failures, China: CN117291225B, 2025.09.09;
[9] Li Jie; Pan Zhenhua; Xia Yuanqing; Feng Jincheng, A UAV formation collision-avoidance method based on a three-dimensional velocity obstacle model and improved artificial potential field method, China: CN119576000B, 2025.06.27;
[10] Wu Chuge; Xia Yuanqing, A data-driven method for calculating spare-parts inventory for after-sales service of electronic products, China: CN116029421B, 2025.05.27;
Contact：
Email: xyq@zut.edu.cn.
