Special Session 5: Robust State Estimation and Intelligent Control of Complex Systems 复杂系统的稳健状态估计与智能控制
Introduction: With the rapid development of industry 4.0, smart energy, unmanned systems and other fields, robust state estimation and intelligent control of complex systems present key challenges due to inherent uncertainties, nonlinear dynamics, and time-varying parameters that limit traditional methods. The integration of data-driven and model-based approaches remains difficult due to data quality issues and adaptation requirements. Computational complexity creates real-time implementation barriers in large-scale applications, while ensuring safety and generalization across diverse operating conditions demands careful balance. These challenges call for innovative solutions that simultaneously address estimation accuracy, control stability, computational efficiency, and safety in uncertain environments.
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Organizers
Xinyu Zhang 张新雨
Xi'an University of Technology, China 西安理工大学
Biodata: Xinyu Zhang is an Associate Professor with Xi’an University of Technology, IEEE Member, CIS Senior Member. His research interests include Industrial parameter detection technology and estimation theory, adaptive filtering and multi-objective optimization. He has published more than 30 papers on IEEE Transactions on Instrumentation and Measurement, IEEE Sensors Journal, Acta Automatic Sinica, Chinese Journal of Scientific Instrument, patented 11 inventions, and won 2 Science and Technology Awards of Chinese Association of Automation. He serves as a Reviewer for the IEEE Transactions on Industrial Informatics, IEEE Transactions on Instrumentation and Measurement, International Journal of Electronics and Control Theory & Application and so on.
Xinghua Liu 刘兴华
Xi'an University of Technology, China 西安理工大学
Biodata: Xinghua Liu (Senior Member, IEEE) received the B.S. degree from Jilin University, Changchun, China, in 2009, and the Ph.D. degree in Automation from the University of Science and Technology of China, Hefei, China, in 2014. From 2014 to 2015, he was a Visiting Fellow with RMIT University, Melbourne, VIC, Australia. From 2015 to 2018, he was a Research Fellow with the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. He has been a Professor with the Xi’an University of Technology, Xi’an, China, since September 2018. He has published more than 90 SCI-indexed papers, including more than 50 papers published in IEEE Transactions journals and top journals of Power and Energy. His research interests include state estimation and control, intelligent systems, autonomous vehicles, cyber–physical systems, and robotic systems.
Special Session Speakers
Xiangyong Chen 陈向勇
Dalian University of Technology, China & Linyi University,
China 大连理工大学&临沂大学
Biodata: Xiangyong Chen,
IEEE/CAA Senior member, He have received the master’s and
Ph.D. degrees in control theory and control engineering from
Northeastern University, Shenyang, China, in 2008 and 2012,
respectively. From July 2014 to April 2019, he was a
Post-Doctoral Student with the Department of Mathematics,
Southeast University, Nanjing, China. From April 2016 to
December 2017, he was a Visiting Scholar with the Department
of Electrical Engineering, Yeungnam University, Gyeongsan,
South Korea. From August 2023 to July 2024, he was a
Visiting Scholar with Shandong University, Jinan, China. He
is currently a Professor with the School of Control Science
and Engineering, Dalian University of Technology, Dalian,
China, and the College of Automation and Electrical
Engineering, Linyi University, Linyi, China. His current
research interests include complex dynamic systems and
complex networks, differential game and optimal control, and
synchronization control of chaotic systems.,Dr. Chen was a
recipient of the Chang Jiang Scholars Program of China for
Young Scholars in 2025.
Bo Chen 陈博
Zhejiang University of Technology, China 浙江工业大学
Biodata: Bo Chen is a
national-level young talent, doctoral supervisor, IEEE
Senior Member, and Senior Member of the Chinese Association
of Automation. He currently serves as Vice Dean of the
School of Information Engineering at Zhejiang University of
Technology. He has long been engaged in research on
networked information fusion estimation and has established
a theoretical framework and methodology for multi-sensor
distributed information fusion estimation under information
transmission uncertainty. He has led research projects
including a Joint Key Project of the National Natural
Science Foundation of China, the Zhejiang Province “Vanguard
and Leading Goose” Project, and the Zhejiang Province
Outstanding Young Scientist Award and its extension grant.
As first or corresponding author, he has published over 100
papers in prestigious international journals such as
Automatica, IEEE-TAC, IEEE-TAES, and IEEE-TC, including 23
papers in the top-tier control journals IEEE-TAC and
Automatica (including 5 full-length papers). His research
achievements have been recognized with the First Prize in
Natural Sciences from the Ministry of Education, the First
Prize in Natural Sciences from Zhejiang Province, the Second
Prize in Scientific and Technological Progress from Zhejiang
Province, the Outstanding Doctoral Dissertation Award from
the Chinese Association of Automation, and the Outstanding
Paper Award for Young Scientists in Zhejiang Province, among
other honors. Currently serves as Guest Editor for the
international journal IEEE Transactions on Industrial
Cyber-Physical Systems, and as Associate Editor for IET
Control Theory and Applications and the Journal of the
Franklin Institute. Has been invited to serve as a TPC
Member and Associate Editor for multiple academic
conferences, including CCC, ICCA, and IECON. Holds positions
including Member of the Control Theory Professional
Committee of the Chinese Association of Automation, Senior
Member of the Chinese Association of Automation, and Member
of the Positioning and Tracking Professional Committee of
the Information Fusion Branch of the Chinese Society of
Aeronautics and Astronautics.