Real-time product quality control for batch processes based on stacked least-squares support vector regression models. - Shuning Zhang; Fuli Wang; Dakuo He; Runda Jia (Comput. Chem. Eng., 2012)

Rapid Modeling Method for Performance Prediction of Centrifugal Compressor Based on Model Migration and SVM. - Fei Chu; Bangwu Dai; Wei Dai 004; Runda Jia; Xiaoping Ma; Fuli Wang (IEEE Access, 2017)

Gold Recovery Modeling Based on Interval Prediction for a Gold Cyanidation Leaching Plant. - Jun Zhang 101; Hua Yan; Hong-Xia Yu; Zhong-Da Tian; Runda Jia (IEEE Access, 2019)

Ensemble regularized local finite impulse response models and soft sensor application in nonlinear dynamic industrial processes. - Xiaolong Chen; Zhizhong Mao; Runda Jia; Shuning Zhang (Appl. Soft Comput., 2019)

Transfer learning for end-product quality prediction of batch processes using domain-adaption joint-Y PLS. - Runda Jia; Shulei Zhang; Fengqi You (Comput. Chem. Eng., 2020)

A process transfer model-based optimal compensation control strategy for batch process using just-in-time learning and trust region method. - Fei Chu; Xiang Cheng; Chuang Peng; Runda Jia; Tao Chen 009; Qinglai Wei (J. Frankl. Inst., 2021)

A general data-driven nonlinear robust optimization framework based on statistic limit and principal component analysis. - Shulei Zhang; Runda Jia; Dakuo He; Fei Chu; Zhizhong Mao (Comput. Chem. Eng., 2022)

Collaborative Optimization Framework for the Industrial Thickening-Dewatering Process Based on Mixed Integer Linear Programming. - Shulei Zhang; Runda Jia; Hengxin Pan; Dakuo He; Kang Li (IEEE Trans. Instrum. Meas., 2023)

Safe reinforcement learning for industrial optimal control: A case study from metallurgical industry. - Jun Zheng; Runda Jia; Shaoning Liu; Dakuo He; Kang Li; Fuli Wang (Inf. Sci., 2023)

Sample-efficient reinforcement learning with knowledge-embedded hybrid model for optimal control of mining industry. - Jun Zheng; Runda Jia; Shaoning Liu; Dakuo He; Kang Li; Fuli Wang (Expert Syst. Appl., 2024)

Stable predictive control of continuous stirred-tank reactors using deep learning. - Shulei Zhang; Runda Jia; Yankai Cao; Dakuo He; Feng Yu 014 (Inf. Sci., 2024)

Application of Robust Model Predictive Control Using Principal Component Analysis to an Industrial Thickener. - Runda Jia; Fengqi You (IEEE Trans. Control. Syst. Technol., 2024)

Robust operating performance assessment of flotation processes using convolutional neural networks and feature learning. - Runda Jia; Mingxuan Ren; Jinglong Wang; Feng Yu 014; Dakuo He (Adv. Eng. Informatics, 2025)

Structure identification of time delay polynomial Hammerstein models. - Feng Yu 014; Dakuo He; Runda Jia; Zhizhong Mao (Autom., 2025)

Safe coordinated optimization of the thickening-dewatering process via reinforcement learning with real-time human guidance. - Ranmeng Lin; Runda Jia; Fengyang Jiang; Jun Zheng; Dakuo He; Kang Li; Fuli Wang (Neurocomputing, 2025)

A Tube-NMPC Approach for Robust Control of Glucose in Type 1 Diabetes Mellitus. - Runda Jia; Xiaoyi Zhao; Shulei Zhang; Xia Yu (IEEE Trans Autom. Sci. Eng., 2025)

A Self-Healing Predictive Control Method for Discrete-Time Nonlinear Systems. - Shulei Zhang; Runda Jia (IEEE CAA J. Autom. Sinica, 2025)