IVFH*: Real-time dynamic obstacle avoidance for mobile robots. - Jie Dong 004; Xueming Ma; Kaixiang Peng (ICARCV, 2010)

Robust coordinated control of hot strip mill multivariable system. - Kaixiang Peng; Jie Dong 004 (ICARCV, 2010)

Artificial Neural Network Based Control Strategy Research and Simulation on Robot Uncalibrated Visual Servoing System. - Jie Dong 004; Xuemei Jia; Xu Zhang (IScIDE, 2012)

A new data-driven process monitoring scheme for key performance indictors with application to hot strip mill process. - Kaixiang Peng; Kai Zhang 015; Jie Dong 004; Xu Yang 006 (J. Frankl. Inst., 2014)

Adaptive total PLS based quality-relevant process monitoring with application to the Tennessee Eastman process. - Jie Dong 004; Kai Zhang 015; Ya Huang; Gang Li; Kaixiang Peng (Neurocomputing, 2015)

Quality-related prediction and monitoring of multi-mode processes using multiple PLS with application to an industrial hot strip mill. - Kaixiang Peng; Kai Zhang 015; Bo You; Jie Dong 004 (Neurocomputing, 2015)

Quality-relevant fault detection and diagnosis for hot strip mill process with multi-specification and multi-batch measurements. - Kaixiang Peng; Kai Zhang 015; Jie Dong 004; Bo You (J. Frankl. Inst., 2015)

Quality-related process monitoring for dynamic non-Gaussian batch process with multi-phase using a new data-driven method. - Kaixiang Peng; Qianqian Li; Kai Zhang 015; Jie Dong 004 (Neurocomputing, 2016)

A Quality-Based Nonlinear Fault Diagnosis Framework Focusing on Industrial Multimode Batch Processes. - Kaixiang Peng; Kai Zhang 015; Bo You; Jie Dong 004; Zidong Wang 001 (IEEE Trans. Ind. Electron., 2016)

Joint Data-Driven Fault Diagnosis Integrating Causality Graph With Statistical Process Monitoring for Complex Industrial Processes. - Jie Dong 004; Mengyuan Wang; Xiong Zhang; Liang Ma; Kaixiang Peng (IEEE Access, 2017)

Event-triggered fault detection framework based on subspace identification method for the networked control systems. - Kaixiang Peng; Mengyuan Wang; Jie Dong 004 (Neurocomputing, 2017)

A novel dynamic non-Gaussian approach for quality-related fault diagnosis with application to the hot strip mill process. - Kai Zhang 015; Jie Dong 004; Kaixiang Peng (J. Frankl. Inst., 2017)

An Efficient Quality-Related Fault Diagnosis Method for Real-Time Multimode Industrial Process. - Kaixiang Peng; Bingzheng Wang; Jie Dong 004 (J. Control. Sci. Eng., 2017)

Data-Driven Quality Monitoring Techniques for Distributed Parameter Systems With Application to Hot-Rolled Strip Laminar Cooling Process. - Jie Dong 004; Qiang Wang; Mengyuan Wang; Kaixiang Peng (IEEE Access, 2018)

Root cause diagnosis of quality-related faults in industrial multimode processes using robust Gaussian mixture model and transfer entropy. - Liang Ma; Jie Dong 004; Kaixiang Peng (Neurocomputing, 2018)

Implementing multivariate statistics-based process monitoring: A comparison of basic data modeling approaches. - Kai Zhang 015; Kaixiang Peng; Ruohui Chu; Jie Dong 004 (Neurocomputing, 2018)

A practical propagation path identification scheme for quality-related faults based on nonlinear dynamic latent variable model and partitioned Bayesian network. - Liang Ma; Jie Dong 004; Kaixiang Peng (J. Frankl. Inst., 2018)

A Common and Individual Feature Extraction-Based Multimode Process Monitoring Method With Application to the Finishing Mill Process. - Kai Zhang 015; Kaixiang Peng; Jie Dong 004 (IEEE Trans. Ind. Informatics, 2018)

Quality Monitoring and Root Cause Diagnosis for Industrial Processes Based on Lasso-SAE-CCA. - Jie Dong 004; Ruiqi Sun; Kaixiang Peng; Zhijie Shi; Liang Ma (IEEE Access, 2019)

An Output Probabilistic Constrained Optimal Control Algorithm Based on Multivariable MAC and its Application in Looper Control System. - Jie Dong 004; Zhijie Shi; Ruiqi Sun (IEEE Access, 2019)

Composite Adaptive Control of Teleoperators With Joint Flexibility, Uncertain Parameters, and Time-Delays. - Yuling Li 002; Chang Li; Jie Dong 004; Jing Li; Yixin Yin (IEEE Access, 2019)

A New Hierarchical Framework for Detection and Isolation of Multiple Faults in Complex Industrial Processes. - Kaixiang Peng; Zhihao Ren; Jie Dong 004; Liang Ma (IEEE Access, 2019)

A deep belief network based health indicator construction and remaining useful life prediction using improved particle filter. - Kaixiang Peng; Ruihua Jiao; Jie Dong 004; Yanting Pi (Neurocomputing, 2019)

A novel plant-wide process monitoring framework based on distributed Gap-SVDD with adaptive radius. - Chuanfang Zhang 001; Kaixiang Peng; Jie Dong 004 (Neurocomputing, 2019)

Hierarchical Monitoring and Root-Cause Diagnosis Framework for Key Performance Indicator-Related Multiple Faults in Process Industries. - Liang Ma; Jie Dong 004; Kaixiang Peng; Chuanfang Zhang 001 (IEEE Trans. Ind. Informatics, 2019)

Just-in-Time Learning-Based Soft Sensor for Mechanical Properties of Strip Steel via Multi-Block Weighted Semisupervised Models. - Jie Dong 004; Yingze Tian; Kaixiang Peng (IEEE Access, 2020)

Monitoring of Nonlinear Processes With Multiple Operating Modes Through a Novel Gaussian Mixture Variational Autoencoder Model. - Peng Tang; Kaixiang Peng; Jie Dong 004; Kai Zhang 015; Shanshan Zhao (IEEE Access, 2020)

Data-Driven Nonzero-Sum Game for Discrete-Time Systems Using Off-Policy Reinforcement Learning. - Yongliang Yang 001; Sen Zhang 001; Jie Dong 004; Yixin Yin (IEEE Access, 2020)

A novel industrial process monitoring method based on improved local tangent space alignment algorithm. - Jie Dong 004; Chi Zhang 066; Kaixiang Peng (Neurocomputing, 2020)

Composite adaptive control for bilateral teleoperation systems without persistency of excitation. - Yuling Li 002; Yixin Yin; Sen Zhang 001; Jie Dong 004; Rolf Johansson 001 (J. Frankl. Inst., 2020)

Fault monitoring and remaining useful life prediction framework for multiple fault modes in prognostics. - Ruihua Jiao; Kaixiang Peng; Jie Dong 004; Chuanfang Zhang 001 (Reliab. Eng. Syst. Saf., 2020)

A Novel Hierarchical Detection and Isolation Framework for Quality-Related Multiple Faults in Large-Scale Processes. - Liang Ma; Jie Dong 004; Kaixiang Peng (IEEE Trans. Ind. Electron., 2020)

A Novel Robust Semisupervised Classification Framework for Quality-Related Coupling Faults in Manufacturing Industries. - Liang Ma; Jie Dong 004; Kaixiang Peng (IEEE Trans. Ind. Informatics, 2020)

Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Conditional Variational Autoencoders-Particle Filter. - Ruihua Jiao; Kaixiang Peng; Jie Dong 004 (IEEE Trans. Instrum. Meas., 2020)

A Quality-related Fault Detection Method for Nonlinear Industrial Processes Based on Mixed Kernel Partial Least Squares. - Liang Ma; Xueyi Zhang; Kaixiang Peng; Jie Dong 004 (CAA SAFEPROCESS, 2021)

Quality Anomaly Monitoring and Comprehensive Diagnosis Framework for Plant-wide Process Industries with Spatio-Temporal Coordination. - Hongjun Zhang; Chuanfang Zhang 001; Kaixiang Peng; Jie Dong 004; Liang Ma; Xueyi Zhang (CAA SAFEPROCESS, 2021)

An extensible quality-related fault isolation framework based on dual broad partial least squares with application to the hot rolling process. - Chuanfang Zhang 001; Kaixiang Peng; Jie Dong 004 (Expert Syst. Appl., 2021)

Remaining Useful Life Prediction for a Roller in a Hot Strip Mill Based on Deep Recurrent Neural Networks. - Ruihua Jiao; Kaixiang Peng; Jie Dong 004 (IEEE CAA J. Autom. Sinica, 2021)

A novel decentralized detection framework for quality-related faults in manufacturing industrial processes. - Liang Ma; Jie Dong 004; Changjun Hu; Kaixiang Peng (Neurocomputing, 2021)

Distributed Operating Performance Assessment for Hot Strip Mill Process Based on Probabilistic Support Tensor Data Description with Feature Tensor. - Chuanfang Zhang 001; Kaixiang Peng; Jie Dong 004; Xueyi Zhang (SMC, 2022)

KPI-related operating performance assessment based on distributed ImRMR-KOCTA for hot strip mill process. - Chuanfang Zhang 001; Kaixiang Peng; Jie Dong 004; Xueyi Zhang (Expert Syst. Appl., 2022)

A novel distributed detection framework for quality-related faults in industrial plant-wide processes. - Liang Ma; Mengwei Wang; Jie Dong 004; Kaixiang Peng (Neurocomputing, 2022)

A new key performance indicator oriented industrial process monitoring and operating performance assessment method based on improved Hessian locally linear embedding. - Hongjun Zhang; Chi Zhang 066; Jie Dong 004; Kaixiang Peng (Int. J. Syst. Sci., 2022)

A Novel Multilabel Classification Framework for Coupling Faults in Hot Rolling Processes. - Liang Ma; Jie Dong 004; Kaixiang Peng (IEEE Trans. Control. Syst. Technol., 2022)

A Novel Quality-Related Incipient Fault Detection Method Based on Canonical Variate Analysis and Kullback-Leibler Divergence for Large-Scale Industrial Processes. - Jie Dong 004; Lingzhi Jiang; Chi Zhang 066; Kaixiang Peng (IEEE Trans. Instrum. Meas., 2022)

A Novel Fault Detection Method Based on the Extraction of Slow Features for Dynamic Nonstationary Processes. - Jie Dong 004; Yaqi Wang; Kaixiang Peng (IEEE Trans. Instrum. Meas., 2022)

A Practical Root Cause Diagnosis Framework for Quality-Related Faults in Manufacturing Processes With Irregular Sampling Measurements. - Liang Ma; Jie Dong 004; Kaixiang Peng (IEEE Trans. Instrum. Meas., 2022)

Exergy-related Operating Performance Assessment for Hot Rolling Process Based on Multiple imputation and Multi-class Support Vector Data Description. - Chuanfang Zhang 001; Kaixiang Peng; Jie Dong 004; Liang Ma; Yangfan Wang; Dongjie Hua (ICPS, 2023)

A comprehensive operating performance assessment framework based on distributed Siamese gated recurrent unit for hot strip mill process. - Chuanfang Zhang 001; Kaixiang Peng; Jie Dong 004; Long Miao (Appl. Soft Comput., 2023)

Hierarchical Causal Graph-Based Fault Root Cause Diagnosis and Propagation Path Identification for Complex Industrial Process Monitoring. - Jie Dong 004; Keren Cao; Kaixiang Peng (IEEE Trans. Instrum. Meas., 2023)

Distributed Quality-Related Process Monitoring Framework Using Parallel DVIB-VAE-mRMR for Large-Scale Processes. - Cuicui Zhang; Jie Dong 004; Hongjun Zhang; Kaixiang Peng (IEEE Trans. Instrum. Meas., 2023)

A Robust Fault Classification Method for Streaming Industrial Data Based on Wasserstein Generative Adversarial Network and Semi-Supervised Ladder Network. - Chuanfang Zhang 001; Kaixiang Peng; Jie Dong 004; Xueyi Zhang; Kaixuan Yang (IEEE Trans. Instrum. Meas., 2023)

A Novel Distributed CVRAE-Based Spatio-Temporal Process Monitoring Method With Its Application. - Peng Tang; Kaixiang Peng; Zhiwen Chen 001; Jie Dong 004 (IEEE Trans. Ind. Informatics, 2023)

Spatio-temporal feature extraction network based multi-performance indicators synergetic monitoring method for complex industrial processes. - Chi Zhang 066; Jie Dong 004; Kaixiang Peng; Ruitao Sun (Expert Syst. Appl., 2024)

Transferable Manifold Projection Embedded Dictionary Learning for Multimode Process Monitoring. - Jie Dong 004; Ruitao Sun; Chi Zhang 066; Kaixiang Peng (IEEE Trans. Instrum. Meas., 2024)

A Cloud-Edge Collaborative Soft Sensing Framework for Multiperformance Indicators of Manufacturing Processes With Irregular Sampling. - Qingquan Xu; Jie Dong 004; Kaixiang Peng; Qichun Zhang (IEEE Trans. Instrum. Meas., 2024)

A Two-Layer Distributed Fault Diagnosis Method Based on Correlation Feature Transfer for Large-Scale Sequential Process Industries. - Chi Zhang 066; Jie Dong 004; Sikun Meng; Zhiyu Cong; Kaixiang Peng (IEEE Trans. Instrum. Meas., 2024)

A novel method of neural network model predictive control integrated process monitoring and applications to hot rolling process. - Qingquan Xu; Jie Dong 004; Kaixiang Peng; Xuyan Yang (Expert Syst. Appl., 2024)

Quality-Related Spatio-Temporal Information Analytics-Based Multiunit Synergetic Monitoring for Plant-Wide Industrial Processes. - Chi Zhang 066; Jie Dong 004; Kaixiang Peng; Hanwen Zhang 002 (IEEE Trans Autom. Sci. Eng., 2025)

A Novel Process Monitoring and Root Cause Diagnosis Strategy Based on Knowledge-Data-Integrated Causal Digraph for Complex Industrial Processes. - Jie Dong 004; Daye Li; Yanmei Wei; Kaixiang Peng (IEEE Trans. Instrum. Meas., 2025)

A New Mechanism Model-Assisted Spatiotemporal Information Fusion Quality-Related Fault Diagnosis Method for Large-Scale Industrial Processes. - Dongjie Hua; Jie Dong 004; Kaixiang Peng; Qichun Zhang (IEEE Trans. Instrum. Meas., 2025)

An Integrated Distributed Fault Diagnosis Framework for Large-Scale Industrial Processes Based on Spatio-Temporal Causal Analysis. - Dongjie Hua; Jie Dong 004; Kaixiang Peng; Silvio Simani (IEEE Trans. Ind. Informatics, 2025)