Chemical Separation Process Monitoring Based on Nonlinear Principal Component Analysis. - Fei Liu 001; Zhong-Gai Zhao (ISNN (1), 2004)

On-Line Batch Process Monitoring Using Multiway Kernel Independent Component Analysis. - Fei Liu 001; Zhong-Gai Zhao (ISNN (2), 2006)

A New Method for Process Monitoring Based on Mixture Probabilistic Principal Component Analysis Models. - Zhong-Gai Zhao; Fei Liu 001 (ISNN (2), 2006)

On-Line Nonlinear Process Monitoring Using Kernel Principal Component Analysis and Neural Network. - Zhong-Gai Zhao; Fei Liu 001 (ISNN (2), 2006)

Data Reconstruction Based on Factor Analysis. - Zhong-Gai Zhao; Fei Liu 001 (ISNN (2), 2008)

A particle filter based on a constrained sampling method for state estimation. - Zhong-Gai Zhao; Biao Huang 001; Cheng-Lin Liu (FUSION, 2012)

Ellipsoidal set based robust particle filtering for recursive Bayesian state estimation. - Xinguang Shao; Zhong-Gai Zhao; Fei Liu 001; Biao Huang 001 (ICCA, 2013)

Bayesian method for state estimation of batch process with missing data. - Zhong-Gai Zhao; Biao Huang 001; Fei Liu 001 (Comput. Chem. Eng., 2013)

Parameter estimation in batch process using EM algorithm with particle filter. - Zhong-Gai Zhao; Biao Huang 001; Fei Liu 001 (Comput. Chem. Eng., 2013)

Concurrent PLS-based process monitoring with incomplete input and quality measurements. - Zhong-Gai Zhao; Qinghua Li; Min Huang; Fei Liu 001 (Comput. Chem. Eng., 2014)

Process Modeling and Monitoring With Incomplete Data Based on Robust Probabilistic Partial Least Square Method. - Qinghua Li; Feng Pan 004; Zhong-Gai Zhao; Junzhi Yu (IEEE Access, 2018)

DMFA-based operation model for fermentation processes. - Yan Gao; Zhong-Gai Zhao; Fei Liu 001 (Comput. Chem. Eng., 2018)

Developing new products with kernel partial least squares model inversion. - Qiang Zhu; Zhong-Gai Zhao; Fei Liu 001 (Comput. Chem. Eng., 2021)

Latent variable point-to-point iterative learning model predictive control via reference trajectory updating. - Songtao Xue; Zhong-Gai Zhao; Fei Liu 001 (Eur. J. Control, 2022)

Sensitivity analysis of the penicillin fermentation process model based on LHS-EPRCC. - Quan Li; Haiying Wan; Zhong-Gai Zhao; Fei Liu 001 (Comput. Chem. Eng., 2023)

Optimal Control of Two-Dimensional Roesser Model: Solution Based on Reinforcement Learning. - Linwei Ye; Zhong-Gai Zhao; Fei Liu 001 (IEEE Trans. Autom. Control., 2024)

Reinforcement Learning for Finite-Horizon H∞ Tracking Control of Unknown Discrete Linear Time-Varying System. - Linwei Ye; Zhong-Gai Zhao; Fei Liu 001 (IEEE Trans. Syst. Man Cybern. Syst., 2024)