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Profile
| Academic position | Full Professor |
|---|---|
| Research fields | Automation, Mechatronics, Control Systems, Intelligent Technical Systems, Robotics,Measuring Systems,Chemical and Thermal Process Engineering |
| Keywords | Data-driven Control, Industrial Batch Process Optimization, Process Analytical Technology, Control System Design, System Identification |
| Honours and awards | 2023: Best paper award of IFAC 2023 for Journal of Process Control (2020-2022) (Jingxiang Liu, Tao Liu*, Junghui Chen, et al. Data-driven modelling of product crystal size distribution and optimal input design for batch cooling crystallization processes. Journal of Process Control, 2020.) 2022: Best paper award of IEEE 11th Data Driven Control and Leaning Systems Conference (2022) (Xiaojing Pei, Tao Liu*, Jingxiang Liu, et al. Wavelet function based spectral model calibration for measuring crystallization solution via ATR-FTIR spectroscopy) 2021: Best paper award of 2022 China Automation Congress co-organized by IEEE Control Systems Society Beijing Chapter (Zhenyu Jiang, Tao Liu*, Yan Huo, et al. Image analysis of crystal size distribution and agglomeration for β form L-glutamic acid crystallization based on YOLOv4 deep learning) 2020: Best paper award of the 31th Chinese Process Control Conference (2020) (Weixu Chen, Tao Liu*, Fangkun Zhang, Xiongwei Ni. Automatic differentiation based parameter estimation for batch crystallization processes) 2019: A winner of 2019 Natural Science Award of Chinese Education Ministry (Accomplishments on anti-disturbance model identification and robust batch control for industrial manufacturing systems) 2018: A winner of 2018 Young Scientist Award of Chinese Association of Automation 2017: A winner of 2017 Natural Science Award of Chinese Association of Automation (Accomplishments on industrial closed-loop system identification and batch optimization theory) 2016: Best paper award of 2016 Chinese Conference of Biological Process Optimization and Control (Lu Wang, Tao Liu*, Yang Chen, Zhiliong Xiu. On-line monitoring method for 1, 3-propanediol fermentation biomass based on FT-NIR real-time analysis) |
Current contact address
| Country | People's Republic of China |
|---|---|
| City | Dalian |
| Institution | Dalian University of Technology |
| Institute | Institute of Advanced Control Technology |
| Homepage | http://act.dlut.edu.cn/ |
Host during sponsorship
| Prof. Dr.-Ing. Wolfgang Marquardt | Aachener Verfahrenstechnik (AVT), Rheinisch-Westfälische Technische Hochschule Aachen (RWTH), Aachen |
|---|---|
| Prof. Dr.-Ing. Rolf Findeisen | Fachgebiet Regelungstechnik und Mechatronik, Technische Universität Darmstadt, Darmstadt |
| Start of initial sponsorship | 01/07/2010 |
Programme(s)
| 2009 | Humboldt Research Fellowship Programme for Postdocs |
|---|
Publications (partial selection)
| 2012 | Tao Liu, Furong Gao: Industrial Process Identification and Control Design: Step-test and Relay-experiment-based Methods . Springer 2012 |
|---|---|
| 2012 | Tao Liu, Youqing Wang: A synthetic approach for robust constrained iterative learning control of piecewise affine batch processes. In: Automatica, 2012, 2762-2775 |
| 2012 | Youqing Wang, Tao Liu, Zhong Zhao.: Advanced PI control with simple learning set-point design: Application on batch processes and robust stability analysis. In: Chemical Engineering Science , 2012, 153-165 |
| 2011 | Tao Liu, Furong Gao. Enhanced IMC design of load disturbance rejection for integrating and unstable processes with slow dynamics. . In: ISA Transactions, 2011, 239-248 |
| 2010 | Tao Liu, Furong Gao: Enhanced IMC-based Load Disturbance Rejection Design for Integrating Processes with Slow Dynamics. In: 2010 IFAC International Symposium on Dynamics and Control of Process Systems, 2010, 67-72 |
| 2010 | Tao Liu, Furong Gao: Robust two-dimensional iterative learning control for batch processes with state delay and time-varying uncertainties. In: Chemical Engineering Science, 2010, 6134-6144 |