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 | 71 | 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 | 53 | 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 | 38 | 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 | 35 | 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 | 24 | 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 | 18 | 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 | 16 | 2019 |
Data-driven self-optimizing control SA Girei, Y Cao, AS Grema, L Ye, V Kariwala Computer aided chemical engineering 33, 649-654, 2014 | 16 | 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 | 15 | 2013 |
Branch and bound method for regression-based controlled variable selection V Kariwala, L Ye, Y Cao Computers & Chemical Engineering 54, 1-7, 2013 | 14 | 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 | 13 | 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 | 13 | 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 | 13 | 2012 |
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 | 12 | 2021 |
Variable pairing method for multivariable control systems L Ye, Z Song Control and Decision 12 (6), 1795-1800, 2009 | 12 | 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 | 11 | 2016 |
多变量控制系统的一种变量配对方法 叶凌箭, 宋执环 控制与决策 24 (12), 1795-1800, 2009 | 11 | 2009 |
Estimation-Based Quadratic Iterative Learning Control for Trajectory Tracking of Robotic Manipulator With Uncertain Parameters M Zhu, L Ye, X Ma IEEE Access 8, 43122-43133, 2020 | 9 | 2020 |
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 | 9 | 2019 |
Global Self-Optimizing Control for Uncertain Constrained Process Systems L Ye, Y Cao, S Skogestad IFAC-PapersOnLine 50 (1), 4672-4677, 2017 | 9 | 2017 |