Lingjian Ye
Lingjian Ye
Huzhou University
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Approximating necessary conditions of optimality as controlled variables
L Ye, Y Cao, Y Li, Z Song
Industrial & Engineering Chemistry Research 52 (2), 798-808, 2013
Nonlinear feature extraction for soft sensor modeling based on weighted probabilistic PCA
X Yuan, L Ye, L Bao, Z Ge, Z Song
Chemometrics and Intelligent Laboratory Systems 147, 167-175, 2015
Global approximation of self-optimizing controlled variables with average loss minimization
L Ye, Y Cao, X Yuan
Industrial & Engineering Chemistry Research 54 (48), 12040-12053, 2015
Probabilistic density-based regression model for soft sensing of nonlinear industrial processes
X Yuan, Y Wang, C Yang, W Gui, L Ye
Journal of Process Control 57, 15-25, 2017
A novel hierarchical control structure with controlled variable adaptation
L Ye, Y Cao, X Ma, Z Song
Industrial & Engineering Chemistry Research 53 (38), 14695-14711, 2014
Neighborhood preserving regression embedding based data regression and its applications on soft sensor modeling
M Aimin, L Peng, Y Lingjian
Chemometrics and Intelligent Laboratory Systems 147, 86-94, 2015
Economic operation of a fluid catalytic cracking process using self-optimizing control and reconfiguration
H Guan, L Ye, F Shen, Z Song
Journal of the Taiwan Institute of Chemical Engineers 96, 104-113, 2019
Data-driven self-optimizing control
SA Girei, Y Cao, AS Grema, L Ye, V Kariwala
Computer aided chemical engineering 33, 649-654, 2014
Dynamic optimization for batch processes with uncertainties via approximating invariant
L Ye, V Kariwala, Y Cao
2013 IEEE 8th Conference on Industrial Electronics and Applications (ICIEA …, 2013
Branch and bound method for regression-based controlled variable selection
V Kariwala, L Ye, Y Cao
Computers & Chemical Engineering 54, 1-7, 2013
Run-to-run optimization of batch processes with self-optimizing control strategy
L Ye, H Guan, X Yuan, X Ma
The Canadian Journal of Chemical Engineering 95 (4), 724–736, 2017
Real-Time Optimization of Gold Cyanidation Leaching Process in a Two-Layer Control Architecture Integrating Self-Optimizing Control and Modifier Adaptation
L Ye, A Miao, H Zhang
Industrial & Engineering Chemistry Research 56 (14), 4002-4016, 2017
A data-driven approach for selecting controlled variables
L Ye, Y Cao, Y Li, Z Song
IFAC Proceedings Volumes 45 (15), 904-909, 2012
叶凌箭, 宋执环
控制与决策 24 (12), 1795-1800, 2009
Variable pairing method for multivariable control systems
L Ye, Z Song
Control and Decision 12 (6), 1795-1800, 2009
Supervised neighborhood preserving embedding for feature extraction and its application for soft sensor modeling
X Yuan, Z Ge, L Ye, Z Song
Journal of Chemometrics 30 (8), 430-441, 2016
Deep learning with neighborhood preserving embedding regularization and its application for soft sensor in an industrial hydrocracking process
C Liu, K Wang, L Ye, Y Wang, X Yuan
Information Sciences 567, 42-57, 2021
Global Self-Optimizing Control for Uncertain Constrained Process Systems
L Ye, Y Cao, S Skogestad
IFAC-PapersOnLine 50 (1), 4672-4677, 2017
Retrofit self-optimizing control of tennessee eastman process
L Ye, Y Cao, X Yuan, Z Song
2016 IEEE International Conference on Industrial Technology (ICIT), 866-871, 2016
Accelerated Kernel Canonical Correlation Analysis with Fault Relevance for Nonlinear Process Fault Isolation
J Yu, K Wang, L Ye, Z Song
Industrial & Engineering Chemistry Research 58 (39), 18280-18291, 2019
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