Estimation of Feeding Composition of Industrial Process Based on Data Reconciliation. - Yusi Luan; Mengxuan Jiang; Zhenxiang Feng; Bei Sun (Entropy, 2021)

A multimode mechanism-guided product quality estimation approach for multi-rate industrial processes. - Zhenxiang Feng; Yonggang Li; Bei Sun; Chunhua Yang 001; Tingwen Huang (Inf. Sci., 2022)

Abnormal Operating Condition Identification of Industrial Processes Based on Deep Learning With Global-Local Slow Feature Analysis. - Zhenxiang Feng; Yonggang Li; Bei Sun; Chunhua Yang 001 (IEEE Trans. Instrum. Meas., 2023)

Nonlinear MPC based on elastic autoregressive fuzzy neural network with roasting process application. - Huiping Liang; Chunhua Yang 001; Yonggang Li; Bei Sun; Zhenxiang Feng (Expert Syst. Appl., 2023)

A constrained multi-objective deep reinforcement learning approach for temperature field optimization of zinc oxide rotary volatile kiln. - Fengrun Tang; Zhenxiang Feng; Yonggang Li; Chunhua Yang 001; Bei Sun (Adv. Eng. Informatics, 2023)

Zinc roasting temperature field control with CFD model and reinforcement learning. - Huiping Liang; Chunhua Yang 001; Mingjie Lv; Xulong Zhang 008; Zhenxiang Feng; Yonggang Li; Bei Sun (Adv. Eng. Informatics, 2024)

A spatiotemporal-distributed deep-learning framework for KPI estimation of chemical processes with cascaded reactors. - Jiaxin Li; Yonggang Li; Zhenxiang Feng; Bei Sun; Shuang Long; Yanting Luo (Expert Syst. J. Knowl. Eng., 2024)

Temperature Co-Optimization of Zinc Roasting Process Based on Fuzzy Synthetic Evaluation and Temperature Adjustable Margin. - Zhenxiang Feng; Peng Ma; Yonggang Li; Bei Sun; Chunhua Yang 001 (IEEE Trans. Fuzzy Syst., 2024)

Distributed Intelligent Control Method Based on State Self-Learning and Its Application in Cascade Processes. - Shulong Yin; Yonggang Li; Zhenxiang Feng; Bei Sun; Huiping Liang (IEEE Trans Autom. Sci. Eng., 2025)