Furong Gao
Review of recent research on data-based process monitoring
Z Ge, Z Song, F Gao
Industrial & Engineering Chemistry Research 52 (10), 3543-3562, 2013
Survey on iterative learning control, repetitive control, and run-to-run control
Y Wang, F Gao, FJ Doyle III
Journal of Process Control 19 (10), 1589-1600, 2009
Sub‐PCA modeling and on‐line monitoring strategy for batch processes
N Lu, F Gao, F Wang
AIChE Journal 50 (1), 255-259, 2004
A survey on multistage/multiphase statistical modeling methods for batch processes
Y Yao, F Gao
Annual Reviews in Control 33 (2), 172-183, 2009
A fast estimation algorithm for lithium-ion battery state of health
X Tang, C Zou, K Yao, G Chen, B Liu, Z He, F Gao
Journal of Power Sources 396, 453-458, 2018
Comparison of Ti/BDD and Ti/SnO2–Sb2O5 electrodes for pollutant oxidation
X Chen, F Gao, G Chen
Journal of Applied Electrochemistry 35, 185-191, 2005
Robust iterative learning control with applications to injection molding process
F Gao, Y Yang, C Shao
Chemical Engineering Science 56 (24), 7025-7034, 2001
Robust design of integrated feedback and iterative learning control of a batch process based on a 2D Roesser system
J Shi, F Gao, TJ Wu
Journal of Process Control 15 (8), 907-924, 2005
High-performance Ti/BDD electrodes for pollutant oxidation
X Chen, G Chen, F Gao, PL Yue
Environmental science & technology 37 (21), 5021-5026, 2003
Computer modeling for injection molding
H Zhou
Part II: Simulation, Mathematical Models for the Filling and Packing …, 2013
Review and big data perspectives on robust data mining approaches for industrial process modeling with outliers and missing data
J Zhu, Z Ge, Z Song, F Gao
Annual Reviews in Control 46, 107-133, 2018
Optimal guaranteed cost control of discrete-time uncertain systems with both state and input delays
L Yu, F Gao
Journal of the Franklin Institute 338 (1), 101-110, 2001
Industrial process identification and control design: step-test and relay-experiment-based methods
T Liu, F Gao
Springer Science & Business Media, 2011
Fault-relevant principal component analysis (FPCA) method for multivariate statistical modeling and process monitoring
C Zhao, F Gao
Chemometrics and Intelligent Laboratory Systems 133, 1-16, 2014
Stage-based process analysis and quality prediction for batch processes
N Lu, F Gao
Industrial & engineering chemistry research 44 (10), 3547-3555, 2005
Iterative learning model predictive control for multi-phase batch processes
Y Wang, D Zhou, F Gao
Journal of Process Control 18 (6), 543-557, 2008
Adaptive control of the filling velocity of thermoplastics injection molding
Y Yang, F Gao
Control Engineering Practice 8 (11), 1285-1296, 2000
Adaptive control of chaotic continuous-time systems with delay
YC Tian, F Gao
Physica D: Nonlinear Phenomena 117 (1-4), 1-12, 1998
A novel framework for Lithium-ion battery modeling considering uncertainties of temperature and aging
X Tang, Y Wang, C Zou, K Yao, Y Xia, F Gao
Energy conversion and management 180, 162-170, 2019
Batch process monitoring based on support vector data description method
Z Ge, F Gao, Z Song
Journal of Process Control 21 (6), 949-959, 2011
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