Prof. Dr. Tao Liu

Profil

Derzeitige Stellung	Professor W-3 und Äquivalente
Fachgebiet	Automatisierungstechnik, Mechatronik, Regelungssysteme, Intelligente Technische Systeme, Robotik,Messsysteme,Chemische und Thermische Verfahrenstechnik
Keywords	Data-driven Control, Industrial Batch Process Optimization, Process Analytical Technology, Control System Design, System Identification
Auszeichnungen	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)

Aktuelle Kontaktadresse

Land	China, VR
Ort	Dalian
Universität/Institution	Dalian University of Technology
Institut/Abteilung	Institute of Advanced Control Technology
Website	http://act.dlut.edu.cn/

Gastgeber*innen während der Förderung

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
Beginn der ersten Förderung	01.07.2010

Programm(e)

2009	Humboldt-Forschungsstipendien-Programm für Postdocs

Publikationen (Auswahl)

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