Sensing and State Estimation
Soft sensing and inference of biochemical process states from online signals and laboratory measurements, accounting for uncertainty, sparse sampling and delayed results.
SHUNYI ZHAO · JIANGNAN UNIVERSITY
Automation and Intelligent Systems
for Biochemical Processes
Jiangnan University · Wuxi, China
Shunyi Zhao Research Group
Estimation · Control · Automation
Research overview
Research focusOur research focuses on automation and intelligent systems for biochemical processes.
Our research connects process sensing, knowledge-guided modeling, intelligent control and autonomous experimentation. We investigate how measurements, biochemical process knowledge and learning can support reliable decisions under changing conditions, uncertainty and practical experimental constraints.
Feedback control and experimental design for biochemical processes.Online estimates guide current feedback control. Assessed experimental results guide the design of subsequent experiments.
Research themes
Process Modeling and Learning
Combining biochemical mechanisms, process data and transferable knowledge to learn dynamic models, guided by physical constraints and changing operating conditions.
Intelligent Control and Optimization
Feedback and predictive control of biochemical processes, with disturbance rejection and optimization of operating conditions under process, quality and resource constraints.
Autonomous Experimentation
Selecting experimental conditions and measurements, coordinating instruments and execution, and using returned results to guide subsequent biochemical experiments.
Selected publications
State estimation & filtering- 2026
State Estimation With Model Uncertainty Using Structure Variational Bayesian and Transfer Learning
· IEEE/CAA Journal of Automatica Sinica, 13(3), 715–727.
- 2024
Fast Bayesian filtering for wastewater treatment plants with inaccurate process noise statistics
· Computers & Chemical Engineering, 189, 108811.
- 2023
Tuning-Free Bayesian Estimation Algorithms for Faulty Sensor Signals in State-Space
· IEEE Transactions on Industrial Electronics, 70(1), 921–929.
- 2020
Trial-and-error or avoiding a guess? Initialization of the Kalman filter
· Automatica, 121, 109184.
- 2017
Bayesian state estimation on finite horizons: The case of linear state–space model
· Automatica, 85, 91–99.
- 2017
Iterative Residual Generator for Fault Detection With Linear Time-Invariant State–Space Models
· IEEE Transactions on Automatic Control, 62(10), 5422–5428.
- 2017
Linear Optimal Unbiased Filter for Time-Variant Systems Without Apriori Information on Initial Conditions
· IEEE Transactions on Automatic Control, 62(2), 882–887.
- 2015
Minimum variance unbiased FIR filter for discrete time-variant systems
· Automatica, 53, 355–361.
Research projects
Research supportProfessor Zhao’s research has received support from national and provincial programs, including:
- National Natural Science Foundation of China: General and Young Scientists programs
- Jiangsu Provincial Natural Science Foundation: Distinguished Young Scholars program
People
Faculty & studentsPrincipal investigator
Shunyi Zhao
Professor · Doctoral Supervisor · Vice Dean
Shunyi Zhao is a Professor and doctoral supervisor at Jiangnan University. He serves as Vice Dean of the School of Automation and Intelligent Science (School of Internet of Things), with responsibility for research and international exchange.
His group pursues automation and intelligent systems for biochemical processes, connecting sensing and estimation, process modeling and learning, control and optimization, and autonomous experimentation.
Faculty members
Yang Sun孙阳
Assistant Professor
Yang Sun studies robust model predictive control, disturbance estimation and rejection, and optimal control for uncertain systems.
Ph.D. in Computer Application Technology, Jinan University, 2024.
yangsun@jiangnan.edu.cnTianyu Zhang张田雨
Assistant Professor
Tianyu Zhang studies Bayesian state estimation and transfer learning for dynamic systems with model uncertainty, unknown noise statistics and asynchronous measurements. Her research focuses on adaptive transfer, estimation stability and suppression of negative transfer.
Doctoral research in Control Science and Engineering, Jiangnan University.
tianyuzhang@jiangnan.edu.cnGraduate students
Songyao Mu慕松垚
Target-state completion and pose recovery for embodied manipulation under occlusion.
Yuchen Tang汤宇辰
Xu Xu许栩
Zheng Zhou周政
Stochastic variational inference for state estimation in linear nonconjugate systems.
Contact
Academic collaboration and graduate research enquiries.
- Institution
- Jiangnan University
- School
- School of Automation and Intelligent Science
(School of Internet of Things) - Research unit
- Key Laboratory of Advanced Process Control for Light Industry,
Ministry of Education - shunyi@jiangnan.edu.cn
- Address
- 1800 Lihu Avenue, Wuxi 214122, Jiangsu, China