Stability Analysis for Linear Switched Systems With Time-Varying Delay. - Xi-Ming Sun; Wei Wang 036; Guo-Ping Liu 003; Jun Zhao 004 (IEEE Trans. Syst. Man Cybern. Part B, 2008)

An optimal method for prediction and adjustment on byproduct gas holder in steel industry. - Xiaoping Zhang; Jun Zhao 004; Wei Wang 036; Liqun Cong; Weimin Feng (Expert Syst. Appl., 2011)

A parallel immune algorithm for traveling salesman problem and its application on cold rolling scheduling. - Jun Zhao 004; Quanli Liu; Wei Wang 036; Zhuoqun Wei; Peng Shi 001 (Inf. Sci., 2011)

A Two-Stage Online Prediction Method for a Blast Furnace Gas System and Its Application. - Jun Zhao 004; Wei Wang 036; Ying Liu 015; Witold Pedrycz (IEEE Trans. Control. Syst. Technol., 2011)

Prediction for noisy nonlinear time series by echo state network based on dual estimation. - Chunyang Sheng; Jun Zhao 004; Ying Liu 015; Wei Wang 036 (Neurocomputing, 2012)

Data-driven based model for flow prediction of steam system in steel industry. - Ying Liu 015; Quanli Liu; Wei Wang 036; Jun Zhao 004; Henry Leung (Inf. Sci., 2012)

Asynchronous H∞ control of switched delay systems with average dwell time. - Yue-E Wang; Xi-Ming Sun; Jun Zhao 004 (J. Frankl. Inst., 2012)

Online Parameter Optimization-Based Prediction for Converter Gas System by Parallel Strategies. - Jun Zhao 004; Wei Wang 036; Witold Pedrycz; Xiangwei Tian (IEEE Trans. Control. Syst. Technol., 2012)

Effective Noise Estimation-Based Online Prediction for Byproduct Gas System in Steel Industry. - Jun Zhao 004; Quanli Liu; Witold Pedrycz; Dexiang Li (IEEE Trans. Ind. Informatics, 2012)

Hybrid Neural Prediction and Optimized Adjustment for Coke Oven Gas System in Steel Industry. - Jun Zhao 004; Quanli Liu; Wei Wang 036; Witold Pedrycz; Liqun Cong (IEEE Trans. Neural Networks Learn. Syst., 2012)

Extended Kalman Filter Based Echo State Network for Time Series Prediction using MapReduce Framework. - Chunyang Sheng; Jun Zhao 004; Henry Leung; Wei Wang 036 (MSN, 2013)

Extended Kalman filter-based Elman networks for industrial time series prediction with GPU acceleration. - Jun Zhao 004; Xiaoliang Zhu; Wei Wang 036; Ying Liu 015 (Neurocomputing, 2013)

Prediction Intervals for a Noisy Nonlinear Time Series Based on a Bootstrapping Reservoir Computing Network Ensemble. - Chunyang Sheng; Jun Zhao 004; Wei Wang 036; Henry Leung (IEEE Trans. Neural Networks Learn. Syst., 2013)

Long term prediction for generation amount of Converter gas based on steelmaking production status estimation. - Xiaoyan Tang; Jun Zhao 004; Chunyang Sheng; Wei Wang 036 (FUZZ-IEEE, 2014)

Adaptive fuzzy clustering based anomaly data detection in energy system of steel industry. - Jun Zhao 004; Kai Liu; Wei Wang 036; Ying Liu 015 (Inf. Sci., 2014)

A Bayesian Networks Structure Learning and Reasoning-Based Byproduct Gas Scheduling in Steel Industry. - Jun Zhao 004; Wei Wang 036; Kan Sun; Ying Liu 015 (IEEE Trans Autom. Sci. Eng., 2014)

Subset fusion based T-S fuzzy modeling for blast furnace gas system in steel industry. - Zheng Lv; Jun Zhao 004; Wei Wang 036; Ying Liu 015; Linqing Wang (ASCC, 2015)

Genetic algorithm for regionalization problem with adaptive equity constraint. - Linqing Wang; Jun Zhao 004; Wei Wang 036; Zili Zhan (ASCC, 2015)

Soft computing for overflow particle size in grinding process based on hybrid case based reasoning. - Zheng Lv; Ying Liu 015; Jun Zhao 004; Wei Wang 036 (Appl. Soft Comput., 2015)

Prediction intervals for industrial data with incomplete input using kernel-based dynamic Bayesian networks. - Long Chen 012; Ying Liu 015; Jun Zhao 004; Wei Wang 036; Quanli Liu (Artif. Intell. Rev., 2016)

Granular-computing based hybrid collaborative fuzzy clustering for long-term prediction of multiple gas holders levels. - Zhongyang Han; Jun Zhao 004; Quanli Liu; Wei Wang 036 (Inf. Sci., 2016)

Data imputation for gas flow data in steel industry based on non-equal-length granules correlation coefficient. - Zheng Lv; Jun Zhao 004; Ying Liu 015; Wei Wang 036 (Inf. Sci., 2016)

Granular Model of Long-Term Prediction for Energy System in Steel Industry. - Jun Zhao 004; Zhongyang Han; Witold Pedrycz; Wei Wang 036 (IEEE Trans. Cybern., 2016)

Improved dynamic time warping algorithm with adaptive scaling for steel plate thickness matching. - Xiaohan Song; Zheng Lv; Jun Zhao 004; Wei Wang 036; Linqing Wang (ASCC, 2017)

Joint distribution adaptation-based transfer learning for status classification of blast furnace gas pipeline network. - Jian Sun; Zheng Lv; Jun Zhao 004; Wei Wang 036; Linqing Wang; Ge Guo 001 (ASCC, 2017)

Data-based predictive optimization for by product gas system in steel industry. - Jun Zhao 004; Chunyang Sheng; Wei Wang 036; Witold Pedrycz; Quanli Liu (CASE, 2017)

A multi-objective particle swarm algorithm based on the active learning approach. - Zhiming Lv; Jun Zhao 004; Wei Wang 036 (IECON, 2017)

Fast generalized reduced gradient algorithm based data reconciliation model. - Xiaohan Song; Jun Zhao 004; Wei Wang 036 (IECON, 2017)

An optimized oxygen system scheduling with electricity cost consideration in steel industry. - Zhongyang Han; Jun Zhao 004; Wei Wang 036 (IEEE CAA J. Autom. Sinica, 2017)

Map-reduce framework-based non-iterative granular echo state network for prediction intervals construction. - Chunyang Sheng; Jun Zhao 004; Wei Wang 036 (Neurocomputing, 2017)

Data-Based Predictive Optimization for Byproduct Gas System in Steel Industry. - Jun Zhao 004; Chunyang Sheng; Wei Wang 036; Witold Pedrycz; Quanli Liu (IEEE Trans Autom. Sci. Eng., 2017)

Data-Driven Prediction for Industrial Processes and Their Applications - Jun Zhao 004; Wei Wang 036; Chunyang Sheng (Springer, 2018)

Target-Oriented Granular Inference with Evolutionary Updating for Converter Gas Scheduling. - Tianyu Wang 002; Jun Zhao 004; Wei Wang 036; Ying Liu 015; Ge Guo 001 (CEC, 2018)

Causality diagram-based scheduling approach for blast furnace gas system. - Feng Jin; Jun Zhao 004; Chunyang Sheng; Wei Wang 036 (IEEE CAA J. Autom. Sinica, 2018)

Time-Variant Consensus Tracking Control for Networked Planar Multi-Agent Systems with Non-Holonomic Constraints. - Jun Zhao 004; Guo-Ping Liu 003 (J. Syst. Sci. Complex., 2018)

Adaptive Granulation-Based Prediction for Energy System of Steel Industry. - Tianyu Wang 002; Zhongyang Han; Jun Zhao 004; Wei Wang 036 (IEEE Trans. Cybern., 2018)

Event-triggered distributed optimal consensus control for multi-agent systems with actuator saturation. - Dong Wang 003; Yun Huang; Wei Wang 036; Jun Zhao 004; Linqing Wang (ASCC, 2019)

A Spark-Based Approach for High-Efficiency Embedded Feature Selection. - Fan Zhou 006; Zhongyang Han; Jun Zhao 004; Wei Wang 036 (DASC/PiCom/DataCom/CyberSciTech, 2019)

Time Series Prediction With Incomplete Dataset Based on Deep Bidirectional Echo State Network. - Qiang Wang; Linqing Wang; Ying Liu 015; Jun Zhao 004; Wei Wang 036 (IEEE Access, 2019)

A multiple surrogates based PSO algorithm. - Zhiming Lv; Jun Zhao 004; Wei Wang 036; Quanli Liu (Artif. Intell. Rev., 2019)

Surrogate-assisted particle swarm optimization algorithm with Pareto active learning for expensive multi-objective optimization. - Zhiming Lv; Linqing Wang; Zhongyang Han; Jun Zhao 004; Wei Wang 036 (IEEE CAA J. Autom. Sinica, 2019)

Hyperpath-based vehicle routing and scheduling method in time-varying networks for airport shuttle service. - Linqing Wang; Jun Zhao 004; Wang Wei (Nat. Comput., 2019)

Development and Experimental Analysis of a Seeding Quantity Sensor for the Precision Seeding of Small Seeds. - Wei Liu; Jianping Hu; Xingsheng Zhao; Haoran Pan; Imran Ali Lakhiar; Wei Wang 036; Jun Zhao 004 (Sensors, 2019)

Variational Inference-Based Automatic Relevance Determination Kernel for Embedded Feature Selection of Noisy Industrial Data. - Jun Zhao 004; Long Chen 012; Witold Pedrycz; Wei Wang 036 (IEEE Trans. Ind. Electron., 2019)

A Multi-objective Simulated Annealing Algorithm-based Coal Blending Optimization Approach in Coking Process. - Jinkai Zi; Feng Jin; Jun Zhao 004; Wei Wang 036; Quanli Liu (DASC/PiCom/CBDCom/CyberSciTech, 2020)

Spark Parallel Acceleration-Based Optimal Scheduling for Air Compressor Group. - Long Chen 012; Xiaojuan Zhang; Jun Zhao 004; Wei Wang 036 (ISNN, 2020)

A Granular Computing-Based Hybrid Hierarchical Method for Construction of Long-Term Prediction Intervals for Gaseous System of Steel Industry. - Linqing Wang; Zhongyang Han; Witold Pedrycz; Jun Zhao 004; Wei Wang 036 (IEEE Access, 2020)

A deep granular network with adaptive unequal-length granulation strategy for long-term time series forecasting and its industrial applications. - Qiang Wang; Long Chen 012; Jun Zhao 004; Wei Wang 036 (Artif. Intell. Rev., 2020)

Variational inference based kernel dynamic Bayesian networks for construction of prediction intervals for industrial time series with incomplete input. - Long Chen 012; Linqing Wang; Zhongyang Han; Jun Zhao 004; Wei Wang 036 (IEEE CAA J. Autom. Sinica, 2020)

Granular-Causality-Based Byproduct Energy Scheduling for Energy-Intensive Enterprise. - Feng Jin; Linqing Wang; Jun Zhao 004; Wei Wang 036; Quanli Liu (IEEE Trans Autom. Sci. Eng., 2020)

A Generalized Heterogeneous Type-2 Fuzzy Classifier and Its Industrial Application. - Jun Zhao 004; Yang Liu 260; Linqing Wang; Wei Wang 036 (IEEE Trans. Fuzzy Syst., 2020)

Multiseries Featural LSTM for Partial Periodic Time-Series Prediction: A Case Study for Steel Industry. - Tianyu Wang 002; Henry Leung; Jun Zhao 004; Wei Wang 036 (IEEE Trans. Instrum. Meas., 2020)

A Novel Semi-Supervised Sparse Bayesian Regression Based on Variational Inference for Industrial Datasets With Incomplete Outputs. - Jun Zhao 004; Long Chen 012; Witold Pedrycz; Wei Wang 036 (IEEE Trans. Syst. Man Cybern. Syst., 2020)

Incremental Bayesian broad learning system and its industrial application. - Ying Liu 015; Yifei Wang; Long Chen 012; Jun Zhao 004; Wei Wang 036; Quanli Liu (Artif. Intell. Rev., 2021)

A review of system modeling, assessment and operational optimization for integrated energy systems. - Jun Zhao 004; Long Chen 012; Yinan Wang; Quanli Liu (Sci. China Inf. Sci., 2021)

A scheduling approach with uncertainties in generation and consumption for converter gas system in steel industry. - Feng Jin; Jun Zhao 004; Ying Liu 015; Wei Wang 036; Qingshan Xu 002 (Inf. Sci., 2021)

Data-driven inference modeling based on an on-line Wang-Mendel fuzzy approach. - Yanwei Zhai; Zheng Lv; Jun Zhao 004; Wei Wang 036; Henry Leung (Inf. Sci., 2021)

An Adaptive Roller Speed Control Method Based on Monitoring Value of Real-Time Seed Flow Rate for Flute-Roller Type Seed-Metering Device. - Wei Liu; Jianping Hu; Xingsheng Zhao; Mengjiao Yao; Imran Ali Lakhiar; Jun Zhao 004; Jiaxin Liu; Wei Wang 036 (Sensors, 2021)

Relevance Vector Machines-Based Time Series Prediction for Incomplete Training Dataset: Two Comparative Approaches. - Long Chen 012; Linqing Wang; Jun Zhao 004; Wei Wang 036 (IEEE Trans. Cybern., 2021)

Granular Prediction and Dynamic Scheduling Based on Adaptive Dynamic Programming for the Blast Furnace Gas System. - Jun Zhao 004; Tianyu Wang 002; Witold Pedrycz; Wei Wang 036 (IEEE Trans. Cybern., 2021)

Prediction Intervals for Granular Data Streams Based on Evolving Type-2 Fuzzy Granular Neural Network Dynamic Ensemble. - Yang Liu 260; Jun Zhao 004; Wei Wang 036; Witold Pedrycz (IEEE Trans. Fuzzy Syst., 2021)

Distributed Control Scheme for Accurate Power Sharing and Fixed Frequency Operation in Islanded Microgrids. - Haiya Qian; Qingshan Xu 002; Pengwei Du; Yuanxing Xia; Jun Zhao 004 (IEEE Trans. Ind. Electron., 2021)

Spatiotemporal Prediction for Energy System of Steel Industry by Generalized Tensor Granularity Based Evolving Type-2 Fuzzy Neural Network. - Jun Zhao 004; Yang Liu 260; Witold Pedrycz; Wei Wang 036 (IEEE Trans. Ind. Informatics, 2021)

A Gaussian Approximation of Marginal Likelihood in Relevance Vector Machine for Industrial Data With Input Noise. - Long Chen 012; Jun Zhao 004; Wei Wang 036; Qingshan Xu 002 (IEEE Trans. Instrum. Meas., 2021)

Granular-Based Multilayer Spatiotemporal Network With Control Gates for Energy Prediction of Steel Industry. - Tianyu Wang 002; Jun Zhao 004; Quanli Liu; Wei Wang 036 (IEEE Trans. Instrum. Meas., 2021)

Multiple imputation based on Bayesian principal component analysis and bootstrap. - Ying Liu 015; Yunchong Li; Long Chen 012; Jun Zhao 004; Wei Wang 036 (ASCC, 2022)

Associative reasoning-based interpretable continuous decision making in industrial production process. - Yanwei Zhai; Zheng Lv; Jun Zhao 004; Wei Wang 036; Henry Leung (Expert Syst. Appl., 2022)

Multi-stage dynamic optimization method for long-term planning of the concentrate ingredient in copper industry. - Hongqi Zhang; Jun Zhao 004; Henry Leung; Wei Wang 036 (Inf. Sci., 2022)

A probabilistic multi-criteria evaluation framework for integrated energy system planning. - Fan Zhou 006; Long Chen 012; Jun Zhao 004; Wei Wang 036 (Inf. Sci., 2022)

A hybrid granular-evolutionary computing method for cooperative scheduling optimization on integrated energy system in steel industry. - Zhongyang Han; Xinyu Zhang; Hongqi Zhang; Jun Zhao 004; Wei Wang 036 (Swarm Evol. Comput., 2022)

Hierarchical Granular Computing-Based Model and Its Reinforcement Structural Learning for Construction of Long-Term Prediction Intervals. - Zhongyang Han; Witold Pedrycz; Jun Zhao 004; Wei Wang 036 (IEEE Trans. Cybern., 2022)

Event-Triggered Adaptive Parameter Control for the Combined Cooling, Heating, and Power System. - Yang Liu 260; Jun Zhao 004; Wei Wang 036 (IEEE Trans. Ind. Electron., 2022)

Adaptive Weighted Optimization Framework for Multiobjective Long-Term Planning of Concentrate Ingredients in Copper Industry. - Hongqi Zhang; Jun Zhao 004; Henry Leung; Wei Wang 036 (IEEE Trans. Instrum. Meas., 2022)

Embedded Feature Selection Based on Relevance Vector Machines With an Approximated Marginal Likelihood and its Industrial Application. - Wange Li; Long Chen 012; Jun Zhao 004; Wei Wang 036 (IEEE Trans. Syst. Man Cybern. Syst., 2022)

A Dynamic Scheduling Framework for Byproduct Gas System Combining Expert Knowledge and Production Plan. - Tianyu Wang 002; Jun Zhao 004; Qingshan Xu 002; Witold Pedrycz; Wei Wang 036 (IEEE Trans Autom. Sci. Eng., 2023)

Unified Modeling for Multiple-Energy Coupling Device of Industrial Integrated Energy System. - Yang Liu 260; Jun Zhao 004; Linqing Wang; Wei Wang 036 (IEEE Trans. Ind. Electron., 2023)

Event-Triggered Online Scheduling for Industrial-Integrated Energy System. - Yang Liu 260; Jun Zhao 004; Linqing Wang; Wei Wang 036 (IEEE Trans. Ind. Electron., 2023)

A Multicriteria Evaluation and Cascaded Optimization Framework for Integrated Energy System of Steel Industry. - Ze Wang; Zhongyang Han; Jun Zhao 004; Wei Wang 036; Ying Liu 015 (IEEE Trans. Ind. Electron., 2023)

Knowledge discovery and variable scale evaluation for long series data. - Yanwei Zhai; Zheng Lv; Jun Zhao 004; Wei Wang 036 (Artif. Intell. Rev., 2023)

Time series prediction with input noise based on the ESN and the EM and its industrial applications. - Ying Liu 015; Long Chen 012; Yunchong Li; Jun Zhao 004; Wei Wang 036 (Expert Syst. Appl., 2023)

Distributed Adaptive Fuzzy Modeling for Industrial Gas-Electricity Networks With Multioperation Modes. - Lei Su; Jun Zhao 004; Wei Wang 036 (IEEE Trans. Ind. Informatics, 2023)

Hybrid Physics and Data-Driven Method for Modeling and Analysis of Electricity-Heat Integrated Energy Systems. - Chun Qin; Jun Zhao 004; Wei Wang 036 (IEEE Syst. J., 2023)

SA-ES: Subspace Activation Evolution Strategy for Black-Box Adversarial Attacks. - Zhenhua Li 005; Huilin Cheng; Xinye Cai; Jun Zhao 004; Qingfu Zhang 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

A Novel Data-Driven Approach to Analysis and Optimal Design of Forced Periodic Operation of Chemical Reactions. - Yuhan Dong; Zi-Qiang Lang; Jun Zhao 004; Wei Wang 036; Zhong Lan (IEEE Trans. Ind. Electron., 2023)

Event-Triggered Distributed Consensus Filtering Based on Interval Analysis for Heterogeneous Multienergy Networks With Coupling Output Constraints. - Lei Su; Jun Zhao 004; Wei Wang 036 (IEEE Trans. Ind. Electron., 2023)

Multi-feature generation network-based imputation method for industrial data with high missing rate. - Zheng Lv; Kai Chen 012; Tai Zhang; Jun Zhao 004; Wei Wang 036 (Expert Syst. Appl., 2023)

Varying-scale HCA-DBSCAN-based anomaly detection method for multi-dimensional energy data in steel industry. - Feng Jin; Hao Wu; Yang Liu 260; Jun Zhao 004; Wei Wang 036 (Inf. Sci., 2023)

Decomposition-Based Lin-Kernighan Heuristic With Neighborhood Structure Transfer for Multi/Many-Objective Traveling Salesman Problem. - Xinye Cai; Kang Wang; Yi Mei 001; Zhenhua Li 005; Jun Zhao 004; Qingfu Zhang 001 (IEEE Trans. Evol. Comput., 2023)

Hybrid Physics- and Data-Driven Dynamic State Estimation of Electricity-Heat Integrated Energy Systems. - Long Chen 012; Chun Qin; Jun Zhao 004; Wei Wang 036 (IEEE Trans. Instrum. Meas., 2024)

Active Fault Diagnosis Based on Dual-Observer for Leakage Detection and Estimation With Adaptive Auxiliary Signal Mechanism in Industrial Gas Networks. - Demin Xu; Feng Jin; Fan Zhou 006; Jun Zhao 004; Wei Wang 036 (IEEE Trans. Instrum. Meas., 2024)

Interval Type-2 Fuzzy Deep Reinforcement Learning-Based Operational Optimization of Industrial Aerodynamic System. - Lulu Zhong; Yang Liu 260; Linqing Wang; Jun Zhao 004; Wei Wang 036 (IEEE Trans. Instrum. Meas., 2024)

A Condition Knowledge Representation and Feedback Learning Framework for Dynamic Optimization of Integrated Energy Systems. - Tianyu Wang 002; Jun Zhao 004; Henry Leung; Wei Wang 036 (IEEE Trans. Cybern., 2024)

Graph-Frequency Domain Kalman Filtering for Industrial Pipe Networks Subject to Measurement Outliers. - Lei Su; Zhongyang Han; Jun Zhao 004; Wei Wang 036 (IEEE Trans. Ind. Informatics, 2024)

Mechanism and Data-Driven Dual Estimation of Coupling Hydraulic-Thermal States for Steam Heating Networks Considering Multi-Time-Scale Characteristics. - Wange Li; Long Chen 012; Jun Zhao 004; Wei Wang 036 (IEEE Trans. Cybern., 2024)

A Multi-Stage Differential-Multifactorial Evolutionary Algorithm for Ingredient Optimization in the Copper Industry. - Xuerui Zhang; Zhongyang Han; Jun Zhao 004 (IEEE CAA J. Autom. Sinica, 2024)

Dynamic Modeling of Multioperating Conditions for a Three-Converter Gas Holder System in Steel Industry by Using Time-Varying Dynamic Bayesian Networks. - Long Chen 012; Yaliang Yan; Jun Zhao 004; Wei Wang 036 (IEEE Trans. Instrum. Meas., 2025)

A Multi-Condition Sequential Network Ensemble for Industrial Energy Storage Prediction Considering the Condition Switching Characteristics. - Tianyu Wang 002; Fan Zhou 006; Yangjie Wu; Jun Zhao 004; Wei Wang 036 (IEEE CAA J. Autom. Sinica, 2025)

An Uncertainty Involved Two-Stage Energy Optimization Framework Based on Deep Reinforcement Learning for Steel Enterprise. - Zhiyuan Wang; Zhongyang Han; Jun Zhao 004; Wei Wang 036 (IEEE Trans. Ind. Electron., 2025)