Furong Gao

Orcid: 0000-0002-5900-1353

According to our database1, Furong Gao authored at least 83 papers between 2000 and 2024.

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Bibliography

2024
A Selective Migration-Based Improved GPR Modeling Method for Batch Process.
IEEE Trans. Syst. Man Cybern. Syst., May, 2024

2023
Event-Based Switching Iterative Learning Model Predictive Control for Batch Processes With Randomly Varying Trial Lengths.
IEEE Trans. Cybern., December, 2023

H∞output feedback fault-tolerant control of industrial processes based on zero-sum games and off-policy Q-learning.
Comput. Chem. Eng., November, 2023

Model Fusion and Multiscale Feature Learning for Fault Diagnosis of Industrial Processes.
IEEE Trans. Cybern., October, 2023

Conic Input Mapping Design of Constrained Optimal Iterative Learning Controller for Uncertain Systems.
IEEE Trans. Cybern., March, 2023

Data-Driven Optimal Synchronization Control for Leader-Follower Multiagent Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2023

Input Mapping Design for Batch-to-Batch Optimization With Limited Memory.
IEEE Trans. Circuits Syst. II Express Briefs, 2023

Process monitoring using recurrent Kalman variational auto-encoder for general complex dynamic processes.
Eng. Appl. Artif. Intell., 2023

Off-policy Q-learning-based Output Feedback Fault-tolerant Tracking Control of Industrial Processes.
Proceedings of the CAA Symposium on Fault Detection, 2023

2022
Optimal Iterative Learning Control for Batch Processes in the Presence of Time-Varying Dynamics.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Conic Iterative Learning Control Using Distinct Data for Constrained Systems With State-Dependent Uncertainty.
IEEE Trans. Ind. Informatics, 2022

A Balancing Current Ratio Based State-of-Health Estimation Solution for Lithium-Ion Battery Pack.
IEEE Trans. Ind. Electron., 2022

Intelligent Fault Diagnosis for Chemical Processes Using Deep Learning Multimodel Fusion.
IEEE Trans. Cybern., 2022

Retrospective comparison of several typical linear dynamic latent variable models for industrial process monitoring.
Comput. Chem. Eng., 2022

Event-triggered distributed robust model predictive control for a class of nonlinear interconnected systems.
Autom., 2022

Continual learning classification method and its application to equipment fault diagnosis.
Appl. Intell., 2022

2021
Two-Dimensional Iterative Learning Model Predictive Control for Batch Processes: A New State Space Model Compensation Approach.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Iterative Learning Control for Multiphase Batch Processes With Asynchronous Switching.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Recovering large-scale battery aging dataset with machine learning.
Patterns, 2021

Continual learning classification method with constant-sized memory cells based on the artificial immune system.
Knowl. Based Syst., 2021

An improved real-valued negative selection algorithm based on the constant detector for anomaly detection.
J. Intell. Fuzzy Syst., 2021

Continual learning classification method for time-varying data space based on artificial immune system.
J. Intell. Fuzzy Syst., 2021

Constrained model predictive fault-tolerant control for multi-time-delayed batch processes with disturbances: A Lyapunov-Razumikhin function method.
J. Frankl. Inst., 2021

Non-stationary data reorganization for weighted wind turbine icing monitoring with Gaussian mixture model.
Comput. Chem. Eng., 2021

RBF neural network modeling approach using PCA based LM-GA optimization for coke furnace system.
Appl. Soft Comput., 2021

2020
A New Synthetic Minmax Optimization Design of H<sub>∞</sub> LQ Tracking Control for Industrial Processes Under Partial Actuator Failure.
IEEE Trans. Reliab., 2020

Data-Driven Two-Dimensional Deep Correlated Representation Learning for Nonlinear Batch Process Monitoring.
IEEE Trans. Ind. Informatics, 2020

Synthesis of ILC-MPC Controller With Data-Driven Approach for Constrained Batch Processes.
IEEE Trans. Ind. Electron., 2020

Data-Driven Batch-End Quality Modeling and Monitoring Based on Optimized Sparse Partial Least Squares.
IEEE Trans. Ind. Electron., 2020

A more general incremental inter-agent learning adaptive control for multiple identical processes in mass production.
Neurocomputing, 2020

Optimal Synchronization Control for Heterogeneous Multi-Agent Systems: Online Adaptive Learning Solutions.
CoRR, 2020

Continual learning classification method with new labeled data based on the artificial immune system.
Appl. Soft Comput., 2020

2019
Multipoint Iterative Learning Model Predictive Control.
IEEE Trans. Ind. Electron., 2019

Multiobjective Two-Dimensional CCA-Based Monitoring for Successive Batch Processes With Industrial Injection Molding Application.
IEEE Trans. Ind. Electron., 2019

Batch Process Modeling and Monitoring With Local Outlier Factor.
IEEE Trans. Control. Syst. Technol., 2019

Incipient Fault Detection for Multiphase Batch Processes With Limited Batches.
IEEE Trans. Control. Syst. Technol., 2019

Multivariate Statistical Monitoring of Key Operation Units of Batch Processes Based on Time-Slice CCA.
IEEE Trans. Control. Syst. Technol., 2019

Education in Process Systems Engineering: Why it matters more than ever and how it can be structured.
Comput. Chem. Eng., 2019

2018
Similar Batch Process Monitoring With Orthogonal Subspace Alignment.
IEEE Trans. Ind. Electron., 2018

Nonlinear Monotonically Convergent Iterative Learning Control for Batch Processes.
IEEE Trans. Ind. Electron., 2018

Linearity Evaluation and Variable Subset Partition Based Hierarchical Process Modeling and Monitoring.
IEEE Trans. Ind. Electron., 2018

A Systematic Min-Max Optimization Design of Constrained Model Predictive Tracking Control for Industrial Processes against Uncertainty.
IEEE Trans. Control. Syst. Technol., 2018

Fault Detection, Isolation, and Prognosis for Complex System.
J. Control. Sci. Eng., 2018

Robust iterative learning control for multi-phase batch processes: an average dwell-time method with 2D convergence indexes.
Int. J. Syst. Sci., 2018

An incremental Inter-agent learning method for adaptive control of multiple identical processes in mass production.
Neurocomputing, 2018

Online average-based system modelling method for batch process.
Comput. Chem. Eng., 2018

An automatic glucose monitoring signal denoising method with noise level estimation and responsive filter updating.
Biomed. Signal Process. Control., 2018

Review and big data perspectives on robust data mining approaches for industrial process modeling with outliers and missing data.
Annu. Rev. Control., 2018

Transfer of Qualitative and Quantitative Knowledge for Similar Batch Process Monitoring.
IEEE Access, 2018

2017
An Indirect Data-Driven Method for Trajectory Tracking Control of a Class of Nonlinear Discrete-Time Systems.
IEEE Trans. Ind. Electron., 2017

Critical-to-Fault-Degradation Variable Analysis and Direction Extraction for Online Fault Prognostic.
IEEE Trans. Control. Syst. Technol., 2017

Iterative Learning and Extremum Seeking for Repetitive Time-Varying Mappings.
IEEE Trans. Autom. Control., 2017

The robust model predictive control based on mixed H2/H∞ approach with separated performance formulations and its ISpS analysis.
Int. J. Control, 2017

Phase-based recursive regression for quality prediction of multiphase batch processes.
Proceedings of the 13th IEEE International Conference on Control & Automation, 2017

Sparse dissimilarity analysis based on distribution dissimilarity decomposition for online diagnosis of incipient faults.
Proceedings of the 2017 American Control Conference, 2017

2016
Adaptive Output Trajectory Tracking Control for a Class of Affine Nonlinear Discrete-Time Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2016

Fault Subspace Selection Approach Combined With Analysis of Relative Changes for Reconstruction Modeling and Multifault Diagnosis.
IEEE Trans. Control. Syst. Technol., 2016

New Minmax Linear Quadratic Fault-Tolerant Tracking Control for Batch Processes.
IEEE Trans. Autom. Control., 2016

Discrete-Time Robust Iterative Learning Kalman Filtering for Repetitive Processes.
IEEE Trans. Autom. Control., 2016

Online identification for batch processes in closed loop incorporating priori controller knowledge.
Comput. Chem. Eng., 2016

2015
State-Space Predictive-P Control for Liquid Level in an Industrial Coke Fractionation Tower.
IEEE Trans Autom. Sci. Eng., 2015

An improved decoupling structure based state space MPC design with improved performance.
Syst. Control. Lett., 2015

Improved infinite horizon LQ tracking control for injection molding process against partial actuator failures.
Comput. Chem. Eng., 2015

Iterative improvement of parameter estimation for model migration by means of sequential experiments.
Comput. Chem. Eng., 2015

A variant fisher discriminant analysis algorithm and its applicationto fault diagnosis.
Proceedings of the 10th Asian Control Conference, 2015

2014
Temperature Control of Industrial Coke Furnace Using Novel State Space Model Predictive Control.
IEEE Trans. Ind. Informatics, 2014

Real-Time Implementation of Improved State-Space MPC for Air Supply in a Coke Furnace.
IEEE Trans. Ind. Electron., 2014

2013
Synthesis of dynamic output feedback RMPC with saturated inputs.
Autom., 2013

Inner-phase-evolution-traced statistical modeling and online monitoring for uneven batch processes.
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013

2009
Identification and Autotuning of Temperature-Control System With Application to Injection Molding.
IEEE Trans. Control. Syst. Technol., 2009

A generalized relay identification method for time delay and non-minimum phase processes.
Autom., 2009

A survey on multistage/multiphase statistical modeling methods for batch processes.
Annu. Rev. Control., 2009

Improved independent component regression modeling.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Identification of low-order process model with time delay from closed-loop step test.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008
Robust Step-Like Identification of Low-Order Process Model Under Nonzero Initial Conditions and Disturbance.
IEEE Trans. Autom. Control., 2008

Identification of integrating and unstable processes from relay feedback.
Comput. Chem. Eng., 2008

Variable structure control for a class of nonlinear systems with mismatched uncertainties.
Appl. Math. Comput., 2008

2001
Optimal guaranteed cost control of discrete-time uncertain systems with both state and input delays.
J. Frankl. Inst., 2001

<i>H</i> <sub>8</sub> and <i>H‾</i> <sub>8</sub> Control of retarded systems: A Razumikhin-type approach.
Int. J. Syst. Sci., 2001

2000
Robust H<sub>∞</sub> control of discrete-time linear systems with delayed state and Frobenius norm-bounded uncertainties.
Proceedings of the 39th IEEE Conference on Decision and Control, 2000

Robust adaptive control of bilinear plants with high-order perturbation uncertainties.
Proceedings of the 39th IEEE Conference on Decision and Control, 2000

Guaranteed cost control of uncertain discrete linear time-delay systems.
Proceedings of the American Control Conference, 2000

Modeling and control of processes with output dynamic nonlinearity.
Proceedings of the American Control Conference, 2000


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