"Advanced System Identification and State Estimation for Modern Control Applications"

Organizers:

Feng Ding, Jiangnan University, China

Feng Ding was born in Guangshui, Hubei Province, China. He received the B.Sc. degree in Electrical Engineering from the Hubei University of Technology (Wuhan, China) in 1984, and the M.Sc. and Ph.D. degrees in automatic control both from the Tsinghua University in 1991 and 1994, respectively. From 1984 to 1988, he was an Electrical Technician at the Hubei Pharmaceutical Factory, Xiangfan, China. From 1994 to 2002, he was with the Department of Automation, Tsinghua University, Beijing, China and he was a Research Associate at the University of Alberta, Edmonton, Canada from 2002 to 2005. He was a Visiting Professor in the Department of Systems and Computer Engineering, Carleton University, Ottawa, Canada from May to December 2008 and a Research Associate in the Department of Aerospace Engineering, Ryerson University, Toronto, Canada, from January to October 2009.
He has been a Professor at the Jiangnan University, Wuxi, China since 2004. His current research interests include model identification and adaptive control. He co-authored the book Adaptive Control Systems (2002) and authored the book Modern Control Theory (2018). He has published over 441 SCI international journal papers. He has published 5 monographs on System Identification: System Identification-New Theory and Methods (2013), System Identification-Performances Analysis for Identification Methods (2014), System Identification-Multi-Innovation Identification Theory and Methods (2016), System Identification-Auxiliary Model Identification Idea and Methods (2017), and System Identification-Iterative Search Principle and Identification Methods (2018).

Siyu Liu, Zhejiang Normal University, China

Siyu Liu was born in Jilin Province, China. She received her B.Sc. degree from Jiangnan University (Wuxi, China) in 2017, and received her Ph.D. degree in Control Science and Engineering from Jiangnan University in 2024. From March 2021 to March 2023, she was a visiting Ph.D. student in the Department of Chemical and Materials Engineering at the University of Alberta, Canada. She is currently an Associate Professor at Zhejiang Normal University. Her interests include system identification, process control and deep learning.

Introcduction:

System identification and state estimation are core research areas in control theory and engineering applications, with extensive prospects in fields such as industrial automation, smart manufacturing, robotics, and energy systems. With the increasing demand for modelling complex systems, traditional identification and estimation methods struggle to address challenges posed by nonlinear, time-varying, and multivariate systems. This Special Session aims to gather the latest research achievements in the field, exploring advanced data-driven and model-driven identification and estimation methods, and promoting their application and development in Industry 4.0, intelligent systems, predictive control, and related areas.

Conference Track(s)

• System Identification and Modeling
• Control Theory and Applications
• Intelligent Control Systems