A Scheme of Model Invalidation Assessment for Multivariable Dynamic Matrix Controllers. - Tengwei Liang; Jun Zhao 008; Zuhua Xu; Jixin Qian (FSKD (2), 2008)

Periodic Disturbance Rejection Method Using Iterative Learning Predictive Function Control. - Jing Wang; Jun Zhao 008; Zuhua Xu; Jixin Qian (FSKD (2), 2009)

Model predictive control with an on-line identification model of a supply chain unit. - Jian Niu; Zuhua Xu; Jun Zhao 008; Zhijiang Shao; Jixin Qian (J. Zhejiang Univ. Sci. C, 2010)

Linear offset-free model predictive control: A minimum-variance unbiased filter based approach. - Haokun Wang 004; Jun Zhao 008; Zuhua Xu; Zhijiang Shao (CDC, 2013)

Convergence Analysis and Digital Implementation of a Discrete-Time Neural Network for Model Predictive Control. - Yang Lu; Dewei Li 001; Zuhua Xu; Yugeng Xi 001 (IEEE Trans. Ind. Electron., 2014)

Model predictive control strategy based on prediction error feedforward for superheating process. - Ruqi Yang; Jia Luo; Jun Zhao 008; Zuhua Xu (ASCC, 2015)

Distributed model predictive control algorithm based on event-trigger. - Minghao Chen; Yuanlong Liu; Jun Zhao 008; Zuhua Xu (ASCC, 2017)

An integrated output space partition and optimal control method of multiple-model for nonlinear systems. - Chunyue Song; Bing Wu; Jun Zhao 008; Zuhua Xu (Comput. Chem. Eng., 2018)

Dynamic Matrix Control With Feed-Forward for Target Tracking. - Minghao Chen; Zuhua Xu; Jun Zhao 008; Zhijiang Shao (ASCC, 2019)

An effcient iterative approach for dynamic output feedback robust model predictive control. - Jianchen Hu; Baocang Ding; Yong Wang; Jun Zhao 008; Zuhua Xu; Tao Zou; Yuanqing Yang; Xubin Ping (ASCC, 2019)

Neighbour-based Synchronous Distributed Receding Horizon Control for Multi-agent Systems. - Yuanqing Yang; Baocang Ding; Jun Zhao 008; Zuhua Xu; Tao Zou; Yong Wang; Jianchen Hu; Xubin Ping (ASCC, 2019)

Tube-based output feedback model predictive control of polytopic uncertain system with bounded disturbances. - Yuanqing Yang; Baocang Ding; Zuhua Xu; Jun Zhao 008 (J. Frankl. Inst., 2019)

A PWA model identification method for nonlinear systems using hierarchical clustering based on the gap metric. - Jiaorao Wang; Chunyue Song; Jun Zhao 008; Zuhua Xu (Comput. Chem. Eng., 2020)

Two-dimensional recursive least squares identification based on local polynomial modeling for batch processes. - Zuhua Xu; Guodong Zhu; Jun Zhao 008; Zhijiang Shao (Comput. Chem. Eng., 2020)

Industrial Turing Test: concept and practice. - Zhijiang Shao; Guanghui Yang; Zuhua Xu (DTPI, 2021)

A distributed model predictive control algorithm with the gap metric output feedback decoupling. - Jiaorao Wang; Zuhua Xu; Chunyue Song; Yi Yao; Jun Zhao 008 (Comput. Chem. Eng., 2021)

Long-term hybrid prediction method based on multiscale decomposition and granular computing for oxygen supply network. - Pengwei Zhou; Zuhua Xu; Jun Zhao 008; Chunyue Song; Zhijiang Shao (Comput. Chem. Eng., 2021)

An event-triggered model predictive control with exponentially stable offset free for PWA systems with model-plant mismatch. - Bingyun Li; Chunyue Song; Jun Zhao 008; Zuhua Xu (J. Frankl. Inst., 2021)

How to Apply Bloom's Taxonomy to Operator Education in the Way of Human-Machine Cooperation? - Guanghui Yang; Zhijiang Shao; Zuhua Xu (HCI (28), 2022)

Closed-loop robust steady-state target calculation for model predictive control. - Minghao Chen; Zuhua Xu; Jun Zhao 008; Yucai Zhu; Zhijiang Shao; Xiang Li 029 (Comput. Chem. Eng., 2022)

Long-term prediction enhancement based on multi-output Gaussian process regression integrated with production plans for oxygen supply network. - Pengwei Zhou; Zuhua Xu; Xudong Peng; Jun Zhao 008; Zhijiang Shao (Comput. Chem. Eng., 2022)

Optimal Iterative Learning Control for Batch Processes in the Presence of Time-Varying Dynamics. - Jingyi Lu; Zhixing Cao; Qinran Hu; Zuhua Xu; Wenli Du; Furong Gao (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Learning MPC for Process Dynamic Working Condition Change Tasks under Model Mismatch. - Guanghui Yang; Rui Wang 076; Zuhua Xu; Zhijiang Shao (ACC, 2023)

Shadow operator: Effective dynamic load change operation training in air separation processes based on industrial nonlinear MPC and Bloom's taxonomy. - Guanghui Yang; Zhijiang Shao; Rui Wang 076; Zuhua Xu; Lidan Cui (CoRR, 2023)

Deep Gaussian mixture adaptive network for robust soft sensor modeling with a closed-loop calibration mechanism. - Xiangrui Zhang; Chunyue Song; Jun Zhao 008; Zuhua Xu (Eng. Appl. Artif. Intell., 2023)

Quasi-Newton extremum seeking control based on incremental recursive identification. - Wenrui Ma; Zuhua Xu; Jun Zhao 008; Shuangxi Zhang; Zhijiang Shao (Comput. Chem. Eng., 2023)

Enhancing Output Feedback Robust MPC via Lexicographic Optimization. - Jianchen Hu; Baocang Ding; Meng Zhang 011; Jun Zhao 008; Zuhua Xu; Hongguang Pan (IEEE Trans. Ind. Informatics, 2023)

Nonparametric identification based on Gaussian process regression for distributed parameter systems. - Lijie Wang; Zuhua Xu; Jun Zhao 008; Zhijiang Shao (Int. J. Syst. Sci., 2023)

Physics-informed gated recurrent graph attention unit network for anomaly detection in industrial cyber-physical systems. - Weiqiang Wu; Chunyue Song; Jun Zhao 008; Zuhua Xu (Inf. Sci., 2023)

Adaptive finite-time optimised impedance control for robotic manipulators with state constraints. - Chengpeng Li; Qinyuan Ren; Zuhua Xu; Jun Zhao 008; Chunyue Song (Int. J. Syst. Sci., 2023)

Safe reinforcement learning method integrating process knowledge for real-time scheduling of gas supply network. - Pengwei Zhou; Zuhua Xu; Xiaoping Zhu; Jun Zhao 008; Chunyue Song; Zhijiang Shao (Inf. Sci., 2023)

Multi-scale adaptive multivariate state estimation fault detection enhancement for time-varying industrial system based on multi-output Gaussian process autoregression. - Yan Liu; Zuhua Xu; Jun Zhao 008; Chunyue Song; Zhijiang Shao (Comput. Ind. Eng., 2023)

Two-stage transfer learning-based nonparametric system identification with Gaussian process regression. - Shuyu Wang; Zuhua Xu; Minghao Chen; Jun Zhao 008; Jiakun Fang; Chunyue Song (Comput. Chem. Eng., 2024)

Granulation-based long-term interval prediction considering spatial-temporal correlations for gas demand prediction in the steel industry. - Pengwei Zhou; Zuhua Xu; Xiaoping Zhu; Jun Zhao 008; Chunyue Song; Zhijiang Shao (Expert Syst. Appl., 2024)

Iterative Deep Graph Learning and Embedding for Industrial Fault Diagnosis With Limited Labeled Data. - Weiqiang Wu; Chunyue Song; Jun Zhao 008; Zuhua Xu (IEEE Trans. Instrum. Meas., 2024)

Two-time scale dynamic closed-loop scheduling for gas supply network with multiple air separation units. - Pengwei Zhou; Qianqian Zhao; Zuhua Xu; Baofeng Zhao; Jun Zhao 008; Xi Chen 075; Zhijiang Shao; Kai Wang (Comput. Ind. Eng., 2024)

Incipient fault detection enhancement based on spatial-temporal multi-mode siamese feature contrast learning for industrial dynamic process. - Yan Liu; Zuhua Xu; Kai Wang; Jun Zhao 008; Chunyue Song; Zhijiang Shao (Comput. Ind., 2024)

Spatial-Temporal Causality Modeling for Industrial Processes With a Knowledge-Data Guided Reinforcement Learning. - Xiangrui Zhang; Chunyue Song; Jun Zhao 008; Zuhua Xu; Xiaogang Deng (IEEE Trans. Ind. Informatics, 2024)

Deep Subdomain Learning Adaptation Network: A Sensor Fault-Tolerant Soft Sensor for Industrial Processes. - Xiangrui Zhang; Chunyue Song; Jun Zhao 008; Zuhua Xu; Xiaogang Deng (IEEE Trans. Neural Networks Learn. Syst., 2024)

Hybrid-Order Graph Embedded Distributed Encoder-Decoder for Multiunit Industrial Plant-Wide Process Monitoring. - Weiqiang Wu; Chunyue Song; Jun Zhao 008; Zuhua Xu; Wei Yu (IEEE Trans Autom. Sci. Eng., 2024)

Spatial-temporal adaptive causality graph-based fault root cause location method for time-varying industrial process. - Yan Liu; Zuhua Xu; Jun Zhao 008; Chunyue Song; Zhijing He (Adv. Eng. Informatics, 2025)

Hierarchical fault propagation path recognition method based on knowledge-driven graph attention autoencoder with bilayer pooling for large-scale industrial system. - Yan Liu; Zuhua Xu; Jun Zhao 008; Chunyue Song; Dingwei Wang (Adv. Eng. Informatics, 2025)

Data-driven controller parameters online tuning method based on model-inherited trust region Bayesian optimization. - Yuchao Qiu; Zuhua Xu; Jun Zhao 008; Chunyue Song; Xiaoping Zhu (Comput. Chem. Eng., 2025)

Knowledge-based real-time scheduling for gas supply network using cooperative multi-agent reinforcement learning and predictive functional range control. - Pengwei Zhou; Zuhua Xu; Jiakun Fang; Jun Zhao 008; Chunyue Song; Zhijiang Shao (Eng. Appl. Artif. Intell., 2025)

Modeling of distributed parameter systems based on independent partial derivative-physics-informed neural network. - Lijie Wang; Yangshu Lin; Xinrong Yan; Yuhao Shao; Zuhua Xu; Chao Yang; Haidong Fan; Yurong Xie; Chenghang Zheng (Neurocomputing, 2025)

Optimizing Weights to Fit Parametric Operation Policies for Generalized Working Conditions in Linear Systems Using Deep Reinforcement Learning. - Ruiyu Qiu; Guanghui Yang; Zuhua Xu; Zhijiang Shao (IEEE Trans. Ind. Informatics, 2025)

Observer-based adaptive iterative learning control for nonstrict-feedback systems with state constraints. - Chengpeng Li; Zuhua Xu; Jun Zhao 008; Qinyuan Ren; Chunyue Song; Dingwei Wang (Int. J. Syst. Sci., 2025)