Research Fields |
Data Science, Application of Artificial Intelligence in Industrial Process, Modeling of Complex Industrial Process, Predictive Control, and Performance Evaluation of Control System |
Personal Profile |
Education Background: 2005.3—2008.12 Ph.D. in Control Science and Engineering, Zhejiang University 2001.9—2004.6 Master in Control Theory and Engineering, Nanjing Tech University 1993.9—1997.6 Bachelor in Production Automation, Nanjing Tech University
Work Experience: 2013.4-2014.4 Visiting Fellow, University of Southern California 1997.8-Present Instructor in Control Science and Engineering Department, Nanjing Tech University |
Representative Research Projects / Works / Papers |
Projects: 1. General Program of the National Natural Science Foundation of China:Performance Evaluation and Depth Diagnosis of Double-Layered Predictive Control System with Interlayer Coupling, 2019-2022, Project Leader 2. Supported by the Young Scientists Fund of the National Natural Science Foundation of China: Study on Distributed Generalized Predictive Control for Complex Large Chemical Process, 2013-2015, Project Leader Papers: 1. ShuZhang,LijuanLi*, LijuanYao, ShipinYang, TaoZou. Data-driven process decomposition and robust online distributed modelling for large-scale processes.International Journal of System Science, 2018, 49 (3): 449-463(SCI Q3)。 2.LijuanLi, TingtingDong, ShuZhang, XiaoxiaoZhang, ShipingYang. Time-delay identification in dynamic processes with disturbance via correlation analysis.Control Engineering Practice, 2017, 62:92–101(SCI Q3) Patents: 1. Automatic Bag Packaging Flexible Production Line, 201610342619X,First Patentee, 2018 2. A Deep Diagnosis Method for Predicting Performance Decline of Control Model, 201410811191X,FirstPatentee, 2017 |