Modeling and control of processes with output dynamic nonlinearity. - Fuli Wang; Furong Gao; Mingzhong Li (ACC, 2000)

Guaranteed cost control of uncertain discrete linear time-delay systems. - Li Yu 001; Furong Gao; Anke Xue (ACC, 2000)

Robust adaptive control of bilinear plants with high-order perturbation uncertainties. - Furong Gao; Cheng Shao; Fuli Wang; Wei Wang (CDC, 2000)

Robust H∞ control of discrete-time linear systems with delayed state and Frobenius norm-bounded uncertainties. - Li Yu 001; Furong Gao (CDC, 2000)

H 8 and H‾ 8 Control of retarded systems: A Razumikhin-type approach. - Chunhai Hou; Furong Gao (Int. J. Syst. Sci., 2001)

Optimal guaranteed cost control of discrete-time uncertain systems with both state and input delays. - Li Yu 001; Furong Gao (J. Frankl. Inst., 2001)

Variable structure control for a class of nonlinear systems with mismatched uncertainties. - Youqing Wang; Canghua Jiang; Donghua Zhou; Furong Gao (Appl. Math. Comput., 2008)

Identification of integrating and unstable processes from relay feedback. - Tao Liu 002; Furong Gao (Comput. Chem. Eng., 2008)

Robust Step-Like Identification of Low-Order Process Model Under Nonzero Initial Conditions and Disturbance. - Tao Liu 002; Furong Gao (IEEE Trans. Autom. Control., 2008)

Identification of low-order process model with time delay from closed-loop step test. - Tao Liu 002; Furong Gao; Chunhui Zhao 001 (CDC, 2009)

Improved independent component regression modeling. - Chunhui Zhao 001; Furong Gao; Tao Liu 002; Fuli Wang (CDC, 2009)

A survey on multistage/multiphase statistical modeling methods for batch processes. - Yuan Yao 002; Furong Gao (Annu. Rev. Control., 2009)

A generalized relay identification method for time delay and non-minimum phase processes. - Tao Liu 002; Furong Gao (Autom., 2009)

Identification and Autotuning of Temperature-Control System With Application to Injection Molding. - Tao Liu 002; Ke Yao; Furong Gao (IEEE Trans. Control. Syst. Technol., 2009)

Inner-phase-evolution-traced statistical modeling and online monitoring for uneven batch processes. - Luping Zhao; Chunhui Zhao 001; Furong Gao (ICCA, 2013)

Synthesis of dynamic output feedback RMPC with saturated inputs. - Dewei Li 001; Yugeng Xi 001; Furong Gao (Autom., 2013)

Real-Time Implementation of Improved State-Space MPC for Air Supply in a Coke Furnace. - Ridong Zhang; Anke Xue; Renquan Lu; Ping Li 012; Furong Gao (IEEE Trans. Ind. Electron., 2014)

Temperature Control of Industrial Coke Furnace Using Novel State Space Model Predictive Control. - Ridong Zhang; Anke Xue; Furong Gao (IEEE Trans. Ind. Informatics, 2014)

A variant fisher discriminant analysis algorithm and its applicationto fault diagnosis. - Wei Wang 264; Chunhui Zhao 001; Youxian Sun; Furong Gao (ASCC, 2015)

Iterative improvement of parameter estimation for model migration by means of sequential experiments. - Linkai Luo; Yuan Yao 002; Furong Gao (Comput. Chem. Eng., 2015)

Improved infinite horizon LQ tracking control for injection molding process against partial actuator failures. - Ridong Zhang; Furong Gao (Comput. Chem. Eng., 2015)

An improved decoupling structure based state space MPC design with improved performance. - Ridong Zhang; Furong Gao (Syst. Control. Lett., 2015)

State-Space Predictive-P Control for Liquid Level in an Industrial Coke Fractionation Tower. - Ridong Zhang; Zhixing Cao; Renquan Lu; Ping Li 012; Furong Gao (IEEE Trans Autom. Sci. Eng., 2015)

Online identification for batch processes in closed loop incorporating priori controller knowledge. - Zhixing Cao; Ridong Zhang; Jingyi Lu; Furong Gao (Comput. Chem. Eng., 2016)

Discrete-Time Robust Iterative Learning Kalman Filtering for Repetitive Processes. - Zhixing Cao; Ridong Zhang; Yi Yang; Jingyi Lu; Furong Gao (IEEE Trans. Autom. Control., 2016)

New Minmax Linear Quadratic Fault-Tolerant Tracking Control for Batch Processes. - Ridong Zhang; Renquan Lu; Anke Xue; Furong Gao (IEEE Trans. Autom. Control., 2016)

Fault Subspace Selection Approach Combined With Analysis of Relative Changes for Reconstruction Modeling and Multifault Diagnosis. - Chunhui Zhao 001; Furong Gao (IEEE Trans. Control. Syst. Technol., 2016)

Adaptive Output Trajectory Tracking Control for a Class of Affine Nonlinear Discrete-Time Systems. - Zhuo Wang 003; Furong Gao (IEEE Trans. Syst. Man Cybern. Syst., 2016)

Sparse dissimilarity analysis based on distribution dissimilarity decomposition for online diagnosis of incipient faults. - Chunhui Zhao 001; Wei Wang 264; Furong Gao (ACC, 2017)

Phase-based recursive regression for quality prediction of multiphase batch processes. - Luping Zhao; Fuli Wang; Yuqing Chang; Shu Wang 007; Furong Gao (ICCA, 2017)

The robust model predictive control based on mixed H2/H∞ approach with separated performance formulations and its ISpS analysis. - Dewei Li 001; Jiwei Li; Yugeng Xi 001; Furong Gao (Int. J. Control, 2017)

Iterative Learning and Extremum Seeking for Repetitive Time-Varying Mappings. - Zhixing Cao; Hans-Bernd Durr; Christian Ebenbauer; Frank Allgöwer; Furong Gao (IEEE Trans. Autom. Control., 2017)

Critical-to-Fault-Degradation Variable Analysis and Direction Extraction for Online Fault Prognostic. - Chunhui Zhao 001; Furong Gao (IEEE Trans. Control. Syst. Technol., 2017)

An Indirect Data-Driven Method for Trajectory Tracking Control of a Class of Nonlinear Discrete-Time Systems. - Zhuo Wang 003; Renquan Lu; Furong Gao; Derong Liu 001 (IEEE Trans. Ind. Electron., 2017)

Transfer of Qualitative and Quantitative Knowledge for Similar Batch Process Monitoring. - Jinlin Zhu; Yuan Yao 002; Furong Gao (IEEE Access, 2018)

Review and big data perspectives on robust data mining approaches for industrial process modeling with outliers and missing data. - Jinlin Zhu; Zhiqiang Ge; Zhihuan Song; Furong Gao (Annu. Rev. Control., 2018)

An automatic glucose monitoring signal denoising method with noise level estimation and responsive filter updating. - Hong Zhao; Chunhui Zhao 001; Furong Gao (Biomed. Signal Process. Control., 2018)

Online average-based system modelling method for batch process. - Zhixing Cao; Jingyi Lu; Ridong Zhang; Furong Gao (Comput. Chem. Eng., 2018)

An incremental Inter-agent learning method for adaptive control of multiple identical processes in mass production. - Hongyi Qu; Dewei Li 001; Ridong Zhang; Furong Gao (Neurocomputing, 2018)

Robust iterative learning control for multi-phase batch processes: an average dwell-time method with 2D convergence indexes. - Limin Wang 003; Yiteng Shen; Jingxian Yu; Ping Li 012; Ridong Zhang; Furong Gao (Int. J. Syst. Sci., 2018)

Fault Detection, Isolation, and Prognosis for Complex System. - Chunhui Zhao 001; Furong Gao; Yuan Yao 002; Zhixing Cao; Yongji Fu (J. Control. Sci. Eng., 2018)

A Systematic Min-Max Optimization Design of Constrained Model Predictive Tracking Control for Industrial Processes against Uncertainty. - Ridong Zhang; Sheng Wu 003; Zhixing Cao; Jingyi Lu; Furong Gao (IEEE Trans. Control. Syst. Technol., 2018)

Linearity Evaluation and Variable Subset Partition Based Hierarchical Process Modeling and Monitoring. - Wenqing Li; Chunhui Zhao 001; Furong Gao (IEEE Trans. Ind. Electron., 2018)

Nonlinear Monotonically Convergent Iterative Learning Control for Batch Processes. - Jingyi Lu; Zhixing Cao; Ridong Zhang; Furong Gao (IEEE Trans. Ind. Electron., 2018)

Similar Batch Process Monitoring With Orthogonal Subspace Alignment. - Jinlin Zhu; Furong Gao (IEEE Trans. Ind. Electron., 2018)

Education in Process Systems Engineering: Why it matters more than ever and how it can be structured. - Ian T. Cameron; Sebastian Engell; Christos Georgakis 002; Norbert Asprion; Dominique Bonvin; Furong Gao; Dimitrios I. Gerogiorgis; Ignacio E. Grossmann; Sandro Macchietto; Heinz A. Preisig; Brent R. Young (Comput. Chem. Eng., 2019)

Multivariate Statistical Monitoring of Key Operation Units of Batch Processes Based on Time-Slice CCA. - Qingchao Jiang; Furong Gao; Hui Yi; Xuefeng Yan (IEEE Trans. Control. Syst. Technol., 2019)

Incipient Fault Detection for Multiphase Batch Processes With Limited Batches. - Shumei Zhang; Chunhui Zhao 001; Furong Gao (IEEE Trans. Control. Syst. Technol., 2019)

Batch Process Modeling and Monitoring With Local Outlier Factor. - Jinlin Zhu; Youqing Wang; Donghua Zhou; Furong Gao (IEEE Trans. Control. Syst. Technol., 2019)

Multiobjective Two-Dimensional CCA-Based Monitoring for Successive Batch Processes With Industrial Injection Molding Application. - Qingchao Jiang; Furong Gao; Xuefeng Yan; Hui Yi (IEEE Trans. Ind. Electron., 2019)

Multipoint Iterative Learning Model Predictive Control. - Jingyi Lu; Zhixing Cao; Furong Gao (IEEE Trans. Ind. Electron., 2019)

Continual learning classification method with new labeled data based on the artificial immune system. - Dong Li; Shulin Liu; Furong Gao; Xin Sun 011 (Appl. Soft Comput., 2020)

Optimal Synchronization Control for Heterogeneous Multi-Agent Systems: Online Adaptive Learning Solutions. - Yuanqiang Zhou; Dewei Li 001; Furong Gao (CoRR, 2020)

A more general incremental inter-agent learning adaptive control for multiple identical processes in mass production. - Hongyi Qu; Dewei Li 001; Ridong Zhang; Shuang-Hua Yang; Furong Gao (Neurocomputing, 2020)

Data-Driven Batch-End Quality Modeling and Monitoring Based on Optimized Sparse Partial Least Squares. - Qingchao Jiang; Xuefeng Yan; Hui Yi; Furong Gao (IEEE Trans. Ind. Electron., 2020)

Synthesis of ILC-MPC Controller With Data-Driven Approach for Constrained Batch Processes. - Dewei Li 001; Shaoying He; Yugeng Xi 001; Tao Liu 002; Furong Gao; Youqing Wang; Jingyi Lu (IEEE Trans. Ind. Electron., 2020)

Data-Driven Two-Dimensional Deep Correlated Representation Learning for Nonlinear Batch Process Monitoring. - Qingchao Jiang; Shifu Yan; Xuefeng Yan; Hui Yi; Furong Gao (IEEE Trans. Ind. Informatics, 2020)

A New Synthetic Minmax Optimization Design of H∞ LQ Tracking Control for Industrial Processes Under Partial Actuator Failure. - Ridong Zhang; Furong Gao (IEEE Trans. Reliab., 2020)

RBF neural network modeling approach using PCA based LM-GA optimization for coke furnace system. - Jili Tao; Zheng Yu; Ridong Zhang; Furong Gao (Appl. Soft Comput., 2021)

Non-stationary data reorganization for weighted wind turbine icing monitoring with Gaussian mixture model. - Hua Jing; Chunhui Zhao 001; Furong Gao (Comput. Chem. Eng., 2021)

Constrained model predictive fault-tolerant control for multi-time-delayed batch processes with disturbances: A Lyapunov-Razumikhin function method. - Limin Wang 003; Jiang Song; Ridong Zhang; Furong Gao (J. Frankl. Inst., 2021)

Continual learning classification method for time-varying data space based on artificial immune system. - Dong Li; Shulin Liu; Furong Gao; Xin Sun 011 (J. Intell. Fuzzy Syst., 2021)

An improved real-valued negative selection algorithm based on the constant detector for anomaly detection. - Dong Li; Xin Sun 011; Furong Gao; Shulin Liu (J. Intell. Fuzzy Syst., 2021)

Continual learning classification method with constant-sized memory cells based on the artificial immune system. - Dong Li; Shulin Liu; Furong Gao; Xin Sun 011 (Knowl. Based Syst., 2021)

Recovering large-scale battery aging dataset with machine learning. - Xiaopeng Tang; Kailong Liu; Kang Li 002; Widanalage Dhammika Widanage; Emma Kendrick; Furong Gao (Patterns, 2021)

Iterative Learning Control for Multiphase Batch Processes With Asynchronous Switching. - Limin Wang 003; Jingxian Yu; Ridong Zhang; Ping Li 012; Furong Gao (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Two-Dimensional Iterative Learning Model Predictive Control for Batch Processes: A New State Space Model Compensation Approach. - Ridong Zhang; Furong Gao (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Continual learning classification method and its application to equipment fault diagnosis. - Dong Li; Shulin Liu; Furong Gao; Xin Sun 011 (Appl. Intell., 2022)

Event-triggered distributed robust model predictive control for a class of nonlinear interconnected systems. - Yuanqiang Zhou; Dewei Li 001; Yugeng Xi 001; Furong Gao (Autom., 2022)

Retrospective comparison of several typical linear dynamic latent variable models for industrial process monitoring. - Jiale Zheng; Chunhui Zhao 001; Furong Gao (Comput. Chem. Eng., 2022)

Intelligent Fault Diagnosis for Chemical Processes Using Deep Learning Multimodel Fusion. - Nan Wang; Fan Yang; Ridong Zhang; Furong Gao (IEEE Trans. Cybern., 2022)

A Balancing Current Ratio Based State-of-Health Estimation Solution for Lithium-Ion Battery Pack. - Xiaopeng Tang; Furong Gao; Kailong Liu; Qi Liu 077; Aoife M. Foley (IEEE Trans. Ind. Electron., 2022)

Conic Iterative Learning Control Using Distinct Data for Constrained Systems With State-Dependent Uncertainty. - Yuanqiang Zhou; Dewei Li 001; Furong Gao (IEEE Trans. Ind. Informatics, 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)

Off-policy Q-learning-based Output Feedback Fault-tolerant Tracking Control of Industrial Processes. - Linzhu Jia; Limin Wang 003; Ridong Zhang; Furong Gao (SAFEPROCESS, 2023)

Process monitoring using recurrent Kalman variational auto-encoder for general complex dynamic processes. - Zheng Zhang; Jinlin Zhu; Shuyu Zhang; Furong Gao (Eng. Appl. Artif. Intell., 2023)

Input Mapping Design for Batch-to-Batch Optimization With Limited Memory. - Yuanqiang Zhou; Dewei Li 001; Furong Gao (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

Data-Driven Optimal Synchronization Control for Leader-Follower Multiagent Systems. - Yuanqiang Zhou; Dewei Li 001; Furong Gao (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Conic Input Mapping Design of Constrained Optimal Iterative Learning Controller for Uncertain Systems. - Yuanqiang Zhou; Kaihua Gao; Xiaopeng Tang; Huanjia Hu; Dewei Li 001; Furong Gao (IEEE Trans. Cybern., 2023)

Model Fusion and Multiscale Feature Learning for Fault Diagnosis of Industrial Processes. - Kai Liu; Ningyun Lu; Feng Wu; Ridong Zhang; Furong Gao (IEEE Trans. Cybern., 2023)

H∞output feedback fault-tolerant control of industrial processes based on zero-sum games and off-policy Q-learning. - Limin Wang 003; Linzhu Jia; Ridong Zhang; Furong Gao (Comput. Chem. Eng., 2023)

Event-Based Switching Iterative Learning Model Predictive Control for Batch Processes With Randomly Varying Trial Lengths. - Lele Ma; Xiangjie Liu; Furong Gao; Kwang Y. Lee (IEEE Trans. Cybern., 2023)

Sliding Mode-based Two-Dimensional Iterative Learning Control for Systems with Uncertainties and External Disturbances. - Yaru Yu; Dewei Li 001; Aoyun Ma; Furong Gao (ICCA, 2024)

Non-excitation closed-loop identification based on hysteresis bias relay feedback. - Lei Wang; Qiang Lv; Feng Wu; Ridong Zhang; Furong Gao (Comput. Chem. Eng., 2024)

Two-dimensional optimization design of constrained minmax model predictive tolerant-fault control for nonlinear batch processes. - Limin Wang 003; Hui Li; Ridong Zhang; Furong Gao (Comput. Chem. Eng., 2024)

Advance industrial monitoring of physio-chemical processes using novel integrated machine learning approach. - Husnain Ali; Rizwan Safdar; Muhammad Hammad Rasool; Hirra Anjum; Yuanqiang Zhou; Yuan Yao 002; Le Yao; Furong Gao (J. Ind. Inf. Integr., 2024)

Meta-Learning With Distributional Similarity Preference for Few-Shot Fault Diagnosis Under Varying Working Conditions. - Chao Ren; Bin Jiang 001; Ningyun Lu; Silvio Simani; Furong Gao (IEEE Trans. Cybern., 2024)

A Selective Migration-Based Improved GPR Modeling Method for Batch Process. - Kaihua Gao; Yuanqiang Zhou; Jingyi Lu; Furong Gao (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Cooperative Distributed Predictive Control for Smart Injection Molding Systems With One-Tap Memory. - Yuanqiang Zhou; Huanjia Hu; Weilong Ding; Kaihua Gao; Dewei Li 001; Furong Gao (IEEE Trans. Ind. Informatics, 2024)

Combined Iterative Learning and Model Predictive Control Scheme for Nonlinear Systems. - Yuanqiang Zhou; Xiaopeng Tang; Dewei Li 001; Xin Lai 004; Furong Gao (IEEE Trans. Syst. Man Cybern. Syst., 2024)

A computationally efficient policy optimization scheme in feedback iterative learning control for nonlinear batch process. - Kaihua Gao; Jingyi Lu; Yuanqiang Zhou; Furong Gao (Comput. Chem. Eng., 2025)

Two-dimensional reinforcement learning model-free fault-tolerant control for batch processes against multi- faults. - Limin Wang 003; Linzhu Jia; Tao Zou; Ridong Zhang; Furong Gao (Comput. Chem. Eng., 2025)

A novel dynamic machine learning-based explainable fusion monitoring: application to industrial and chemical processes. - Husnain Ali; Rizwan Safdar; Yuanqiang Zhou; Yuan Yao 002; Le Yao; Zheng Zhang; Weilong Ding; Furong Gao (Mach. Learn. Sci. Technol., 2025)

The Input-Mapping-Based Online Learning Sliding Mode Control Strategy With Low Computational Complexity. - Yaru Yu; Aoyun Ma; Dewei Li 001; Yugeng Xi 001; Furong Gao (IEEE Trans Autom. Sci. Eng., 2025)

An Integrated Capacitance-Pressure-Temperature Sensing Probe for Injection Molding Monitoring. - Wenjia Zheng; Huanjia Hu; Zheng Zhang; Weilong Ding; S. W. Ricky Lee; Furong Gao (IEEE Trans. Instrum. Meas., 2025)

Event-Triggered H∞ Filtering for A Class of Nonlinear Systems Under DoS Attacks. - Weiguo Ma; Yuanqiang Zhou; Xin Lai 004; Furong Gao (Circuits Syst. Signal Process., 2025)

Optimally Selected Cycle-Based ILC for System With Randomly Varying Initial State. - Kaihua Gao; Yuanqiang Zhou; Furong Gao; Jingyi Lu (IEEE Trans. Autom. Control., 2025)

Data-Driven Iterative Learning Model Predictive Control With Self-Modified Prior Knowledge. - Lele Ma; Xiangjie Liu; Furong Gao; Kwang Y. Lee (IEEE Trans. Neural Networks Learn. Syst., 2025)