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.
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.
张新雨，西安理工大学自动化与信息工程学院副教授，IEEE会员，中国仪器仪表学会高级会员。主要从事工业参量检测技术与估计理论、自适应滤波、多目标优化等方面的研究。主持国家自然科学基金等多项国家级项目，并在《IEEE
Transactions on Instrumentation and Measurement》、《IEEE
Sensors
Journal》、《自动化学报》和《仪器仪表学报》等学术期刊发表论文30余篇，授权了11项发明专利，获中国自动化学会技术发明奖一等奖1项，中国自动化学会科学技术进步奖二等奖1项。现为《IEEE
Transactions on Industrial Informatics》、《IEEE Transactions
on Instrumentation and Measurement》、《IEEE Sensors
Journal》、《International Journal of
Electronics》和《控制理论与应用》等期刊审稿人。
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 is
a Professor and Ph.D. supervisor at Dalian University of
Technology/Linyi University. He is a Chang Jiang Young
Scholar (MOE), Yimeng Scholar Talent Program Distinguished
Professor, and Director of a National First-Class Course. He
serves as Council Member & Deputy Secretary-General of
Shandong Association of Automation, Secretary-General of the
TCCT Logistics Systems Intelligent Control Group (CAA),
Deputy Director of the Shandong Provincial Key Laboratory of
"Complex Systems & Intelligent Computing", and member of
several committees including the Youth Working Committee of
CICC. He is on the editorial boards of JAMI, Information and
Control, and Journal of Naval Aeronautical University. His
research focuses on control of complex networks and systems.
He has published dozens of papers in IEEE Transactions and
other journals, and led over ten national (NSFC) and
provincial research projects. He has received awards
including the Huaihai Science & Technology Award (2nd
Class), Shandong Association of Automation Natural Science
Award (1st Class), Shandong Natural Science Academic
Innovation Award, and Shandong Higher Education Science &
Technology Award.
陈向勇，大连理工大学/临沂大学教授，博士生导师，教育部青年长江学者、沂蒙学者人才工程特聘教授、国家一流课程负责人、山东省自动化学会理事&兼职副秘书长、中国自动化学会TCCT物流系统智能控制学组秘书长、山东省高等学校“复杂系统与智能计算”重点实验室副主任、中国指挥与控制学会青工委委员、集群智能与协同控制专委会委员、网络科学与工程专业委员会委员、中国自动化学会认知计算与系统专业委员会会员，担任JAMI编委、《信息与控制》、《海军航空大学学报》等期刊青年编委等。近年来，主要从事复杂网络与复杂系统的控制方面的研究，已在IEEE汇刊等发表学术论文数十篇，主持国家自然科学基金和省部级课题十余项。曾获得淮海科技二等奖、山东省自动化学会自然科学一等奖、山东省自然科学学术创新奖，山东省高等学校科学技术奖等多项科研奖励。