State Estimation of Networked Systems under Resource Constraints

Introduction:

In fact, in the process of modeling or information transmission, the phenomenon of resource constraints occurs due to physical limitation of the equipment, complexity of external environment and other factors. Resource constraints may further lead to incomplete measurement information. The incompleteness of the measurement information is one of the main factors leading to the degradation of system performance. Therefore, in the case of resource constraints, it is of great practical significance and theoretical value to investigate the state estimation problem of networked systems, analyze the dynamic characteristics of networked systems, and develop the theory of state estimation and dynamics analysis of networked systems. The scope of this special session includes complex network, neural network, sensor networks, state estimation, communication protocols and so on.

Submission Guideline:

Please submit your manuscript via Online Submission System: https://easychair.org/conferences/?conf=rcae2024
Please choose Special Session: State Estimation of Networked Systems under Resource Constraints

Organizers:

Yufei Liu

Anhui Polytechnic University, China

Yufei Liu received her B.Sc. degree in mathematics from Henan Normal University, Xinxiang, China, in 2017 and the Ph.D. degree in control theory and control engineering from Donghua University, Shanghai, China, in 2023.
She is currently a Lecturer with the School of Electrical Engineering, Anhui Polytechnic University, Wuhu, China. From 2021 to 2022, she was a visiting Ph.D. student in the Institute of Automatic Control, Technical University of Kaiserslautern, Germany. Her research interests include state estimation, complex networks and neural networks.
Dr. Liu is a very active reviewer for many international journals.

Hailong Tan

Anhui Polytechnic University, China

Hailong Tan received the B.Sc. degree in statistics and the Ph.D. degree in control theory and control engineering from Donghua University, Shanghai, China, in 2014 and 2020, respectively.
He is currently an associate professor with the School of Mathematics–Physics and Finance, Anhui Polytechnic University, Wuhu, China. From 2017 to 2018, he was a visiting Ph.D. student in the Department of Electronic and Computer Engineering, Brunel University, U.K. His research interests include fusion estimation, robust filtering, and sampled-data systems.
Dr. Tan is a very active reviewer for many international journals.