Modeling and Simulation of Whole Ball Mill Grinding Plant for Integrated Control. - Shaowen Lu; Ping Zhou 003; Tianyou Chai; Wei Dai 004 (IEEE Trans Autom. Sci. Eng., 2014)

Multivariable Disturbance Observer Based Advanced Feedback Control Design and Its Application to a Grinding Circuit. - Ping Zhou 003; Wei Dai 004; Tianyou Chai (IEEE Trans. Control. Syst. Technol., 2014)

Particle size estimate of grinding processes using random vector functional link networks with improved robustness. - Wei Dai 004; Qiang Liu 018; Tianyou Chai (Neurocomputing, 2015)

Data-Driven Optimization Control for Safety Operation of Hematite Grinding Process. - Wei Dai 004; Tianyou Chai; Simon X. Yang (IEEE Trans. Ind. Electron., 2015)

Software platform for optimal setting control of complex industrial processes. - Wei Dai 004; Fei Chu; Chunyu Yang 001; Ying Chen; Tianyou Chai (ACC, 2017)

Rapid Modeling Method for Performance Prediction of Centrifugal Compressor Based on Model Migration and SVM. - Fei Chu; Bangwu Dai; Wei Dai 004; Runda Jia; Xiaoping Ma; Fuli Wang (IEEE Access, 2017)

Robust Regularized Random Vector Functional Link Network and Its Industrial Application. - Wei Dai 004; Qixin Chen; Fei Chu; Xiaoping Ma; Tianyou Chai (IEEE Access, 2017)

Configurable Platform for Optimal-Setting Control of Grinding Processes. - Wei Dai 004; Gang Huang; Fei Chu; Tianyou Chai (IEEE Access, 2017)

Data-Driven PID Controller and Its Application to Pulp Neutralization Process. - Yajun Zhang; Yao Jia 001; Tianyou Chai; Dianhui Wang; Wei Dai 004; Jun Fu 001 (IEEE Trans. Control. Syst. Technol., 2018)

Stochastic configuration networks with block increments for data modeling in process industries. - Wei Dai 004; Depeng Li 001; Ping Zhou 003; Tianyou Chai (Inf. Sci., 2019)

Planning and Scheduling for Large-Scale Robot Networks: An Efficient and Comprehensive Approach. - Zhe Liu 022; Yanzi Miao; Wei Dai 004; Yu Zhai (RCAR, 2020)

Driving amount based stochastic configuration network for industrial process modeling. - Qianjin Wang; Wei Dai 004; Xiaoping Ma; Zhigen Shang (Neurocomputing, 2020)

Observed-Based Asynchronous Control of Linear Semi-Markov Jump Systems With Time-Varying Mode Emission Probabilities. - Yongxiao Tian; Huaicheng Yan 001; Wei Dai 004; Shiming Chen 001; Xisheng Zhan 001 (IEEE Trans. Circuits Syst., 2020)

Two-Dimensional Broad Learning System for Data Analytic. - Wei Dai 004; Rui Zhang; Qianjin Wang; Yuhu Cheng; Xuesong Wang 001 (IEEE Trans. Artif. Intell., 2021)

Dual-Rate Adaptive Optimal Tracking Control for Dense Medium Separation Process Using Neural Networks. - Wei Dai 004; Lingzhi Zhang; Jun Fu 001; Tianyou Chai; Xiaoping Ma (IEEE Trans. Neural Networks Learn. Syst., 2021)

Observer-Based Control for the Two-Time-Scale Cyber-Physical Systems: The Dual-Scale DoS Attacks Case. - Ying Zhang; Lei Ma 013; Guoqing Wang 003; Chunyu Yang 001; Linna Zhou; Wei Dai 004 (IEEE Trans. Netw. Sci. Eng., 2021)

A New Learning Paradigm for Stochastic Configuration Network: SCN+. - Yanshuang Ao; Xinyu Zhou; Wei Dai 004 (CoRR, 2022)

Centralized and Distributed Robust State Estimation Over Sensor Networks Using Elliptical Distribution. - Guoqing Wang 003; Chunyu Yang 001; Lei Ma 013; Wei Dai 004 (IEEE Internet Things J., 2022)

Federated stochastic configuration networks for distributed data analytics. - Wei Dai 004; Langlong Ji; Dianhui Wang (Inf. Sci., 2022)

Stochastic configuration networks for imbalanced data classification. - Wei Dai 004; Chuanfeng Ning; Jing Nan; Dianhui Wang (Int. J. Mach. Learn. Cybern., 2022)

Incremental learning paradigm with privileged information for random vector functional-link networks: IRVFL+. - Wei Dai 004; Yanshuang Ao; Linna Zhou; Ping Zhou 003; Xuesong Wang 001 (Neural Comput. Appl., 2022)

Reinforcement Learning-Based Sliding Mode Tracking Control for the Two-Time-Scale Systems: Dealing With Actuator Attacks. - Ying Zhang; Lei Ma 013; Chunyu Yang 001; Wei Dai 004 (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

New Criteria on Stability of Dynamic Memristor Delayed Cellular Neural Networks. - Kun Deng; Song Zhu; Wei Dai 004; Chunyu Yang 001; Shiping Wen 001 (IEEE Trans. Cybern., 2022)

Multi-Rate Layered Operational Optimal Control for Large-Scale Industrial Processes. - Wei Dai 004; Tongyun Li; Lingzhi Zhang; Yao Jia 001; Huaicheng Yan 001 (IEEE Trans. Ind. Informatics, 2022)

Hybrid Parallel Stochastic Configuration Networks for Industrial Data Analytics. - Wei Dai 004; Xinyu Zhou; Depeng Li 001; Song Zhu; Xuesong Wang 001 (IEEE Trans. Ind. Informatics, 2022)

Compact Incremental Random Weight Network for Estimating the Underground Airflow Quantity. - Qianjin Wang; Wei Dai 004; Ping Lin; Ping Zhou 003 (IEEE Trans. Ind. Informatics, 2022)

Reinforcement Learning-Based Composite Optimal Operational Control of Industrial Systems With Multiple Unit Devices. - Jianguo Zhao; Chunyu Yang 001; Wei Dai 004; Weinan Gao (IEEE Trans. Ind. Informatics, 2022)

Security Control for Multi-Time-Scale CPSs Under DoS Attacks: An Improved Dynamic Event-Triggered Mechanism. - Lei Ma 013; Hongyu Liu; Linna Zhou; Chunyu Yang 001; Wei Dai 004; Guoqing Wang 003 (IEEE Trans. Netw. Sci. Eng., 2022)

Short-term photovoltaic power forecasting with adaptive stochastic configuration network ensemble. - Xifeng Guo; Xinlu Wang; Yanshuang Ao; Wei Dai 004; Ye Gao (WIREs Data Mining Knowl. Discov., 2022)

LightGCNet: A Lightweight Geometric Constructive Neural Network for Data-Driven Soft sensors. - Jing Nan; Yan Qin; Wei Dai 004; Chau Yuen (CoRR, 2023)

Orthogonal stochastic configuration networks with adaptive construction parameter for data analytics. - Wei Dai 004; Chuanfeng Ning; Shiyu Pei; Song Zhu; Xuesong Wang 001 (Ind. Artif. Intell., 2023)

Learning with privileged information for short-term photovoltaic power forecasting using stochastic configuration network. - Xinyu Zhou; Yanshuang Ao; Xinlu Wang; Xifeng Guo; Wei Dai 004 (Inf. Sci., 2023)

H∞ Control for a Class of Two-Time-Scale Cyber-Physical Systems: An Asynchronous Dynamic Event-Triggered Protocol. - Lei Ma 013; Chunyu Yang 001; Guoqing Wang 003; Wei Dai 004; Chenxiao Cai (IEEE Trans. Cybern., 2023)

Recursive Watermarking-Based Transient Covert Attack Detection for the Industrial CPS. - Lei Ma 013; Zhong Chu; Chunyu Yang 001; Guoqing Wang 003; Wei Dai 004 (IEEE Trans. Inf. Forensics Secur., 2023)

Linear quadratic tracking control of unknown systems: A two-phase reinforcement learning method. - Jianguo Zhao; Chunyu Yang 001; Weinan Gao; Hamidreza Modares; Xinkai Chen; Wei Dai 004 (Autom., 2023)

Multitarget Stochastic Configuration Network and Applications. - Qianjin Wang; Qiqiang Hong; Shang Wu; Wei Dai 004 (IEEE Trans. Artif. Intell., 2023)

A lightweight fast human activity recognition method using hybrid unsupervised-supervised feature. - Jing Nan; Chuanfeng Ning; Gang Yu; Wei Dai 004 (Neural Comput. Appl., 2023)

Q-Learning-Based Multi-Rate Optimal Control for Process Industries. - Zhenxing Xia; Meng-Jie Hu; Wei Dai 004; Huaicheng Yan 001; Xiaoping Ma (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

Formation Control for Multiple Quadrotors Under DoS Attacks via Singular Perturbation. - Ying Zhang; Lei Ma 013; Chunyu Yang 001; Linna Zhou; Guoqing Wang 003; Wei Dai 004 (IEEE Trans. Aerosp. Electron. Syst., 2023)

Joint Watermarking-Based Replay Attack Detection for Industrial Process Operation Optimization Cyber-Physical Systems. - Chunyu Yang 001; Zhong Chu; Lei Ma 013; Guoqing Wang 003; Wei Dai 004 (IEEE Trans. Ind. Informatics, 2023)

Robust Kalman Filter for Systems With Colored Heavy-Tailed Process and Measurement Noises. - Guoqing Wang 003; Jiaxiang Zhao; Chunyu Yang 001; Lei Ma 013; Xiaoxiao Fan; Wei Dai 004 (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

Multi-agent Simulation for Mass School Shootings. - Wei Dai 004; Yash Pratap Singh; Rui Zhang (IEEE Big Data, 2024)

Harnessing Neural Unit Dynamics for Effective and Scalable Class-Incremental Learning. - Depeng Li 001; Tianqi Wang; Junwei Chen; Wei Dai 004; Zhigang Zeng (ICML, 2024)

Vulnerability analysis for a class of nonlinear cyber-physical systems under stealthy attacks. - Qirui Zhang 003; Wei Dai 004; Chunyu Yang 001; Xinkai Chen (Autom., 2024)

A Multi-agent Simulation for the Mass School Shootings. - Wei Dai 004; Yash Singh; Rui Zhang (CoRR, 2024)

A novel stochastic configuration network with enhanced feature extraction for industrial process modeling. - Qianjin Wang; Wei Yang; Wei Dai 004; Xiaoping Ma (Neurocomputing, 2024)

Stochastic configuration networks with improved supervisory mechanism. - Jing Nan; Wei Dai 004; Dianhui Wang (Inf. Sci., 2024)

Probability-Based Identification of Hammerstein Systems With Asymmetric Noise Characteristics. - Xin Liu 038; Chen Wang; Wei Dai 004 (IEEE Trans. Instrum. Meas., 2024)

Auxiliary Model and Key-Term Separation-Based Identification of Hammerstein OE System With Missing Outputs and Outliers. - Xin Liu 038; Chen Wang; Wei Dai 004 (IEEE Trans. Instrum. Meas., 2024)

InterGCNet: An Interpolation Geometric Constructive Neural Network for Industrial Data Modeling. - Jing Nan; Yan Qin; Anushiya Arunan; Wei Dai 004; Chau Yuen (IEEE Trans. Instrum. Meas., 2024)

Operational Optimal Tracking Control for Industrial Multirate Systems Subject to Unknown Disturbances. - Lingzhi Zhang; Lei Xie 007; Wei Dai 004; Shan Lu 009; Hongye Su (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Online Sequential Sparse Robust Neural Networks With Random Weights for Imperfect Industrial Streaming Data Modeling. - Chaoyao Wen; Ping Zhou 003; Wei Dai 004; Liang Dong; Tianyou Chai (IEEE Trans Autom. Sci. Eng., 2024)

Event-Triggered Constrained Optimal Control for Organic Rankine Cycle Systems via Safe Reinforcement Learning. - Lingzhi Zhang; Runze Lin; Lei Xie 007; Wei Dai 004; Hongye Su (IEEE Trans. Neural Networks Learn. Syst., 2024)

Asynchronous Event-Triggered Control for Two-Time-Scale CPSs With Dual-Scale Channel: Dealing With Hybrid Attacks. - Ying Zhang; Lei Ma 013; Chunyu Yang 001; Guoqing Wang 003; Wei Dai 004 (IEEE Trans. Control. Netw. Syst., 2024)

Multi-target regression via stochastic configuration networks with modular stacked structure. - Shang Wu; Xin Liu 038; Gang Yu; Wei Dai 004 (Int. J. Mach. Learn. Cybern., 2024)

Predicting Particle Size of Copper Ore Grinding With Stochastic Configuration Networks. - Dianhui Wang; Pengxin Tian; Wei Dai 004; Gang Yu (IEEE Trans. Ind. Informatics, 2024)

A Compact Constraint Incremental Method for Random Weight Networks and Its Application. - Qianjin Wang; Wei Dai 004; Chunfu Zhang; Jiaji Zhu; Xiaoping Ma (IEEE Trans. Neural Networks Learn. Syst., 2024)

An Interpretable Constructive Algorithm for Incremental Random Weight Neural Networks and Its Application. - Jing Nan; Wei Dai 004; Guan Yuan; Ping Zhou 003 (IEEE Trans. Ind. Informatics, 2024)

Multitarget Incremental Modeling via Random Weight Networks. - Qianjin Wang; Wei Dai 004; Xianghui Li; Xiaoping Ma (IEEE Trans. Ind. Informatics, 2024)

Data-specific activation function learning for constructive neural networks. - Zhenxing Xia; Wei Dai 004; Xin Liu 038; Haijun Zhang; Xiaoping Ma (Neurocomputing, 2025)

Robust LPV System Identification With Skewed and Asymmetric Measurement Noise. - Xin Liu 038; Yang Hai; Wei Dai 004 (IEEE Trans Autom. Sci. Eng., 2025)

Semi-Supervised Incremental Soft Sensor Model With Spatiotemporal Graph Regularization for Process Industry. - Wenyi Li; Wei Dai 004; Jing Nan; Biao Li (IEEE Trans. Instrum. Meas., 2025)

Robust EKF Based on Shape Parameter Mixture Distribution for Wireless Localization With Time-Varying Skewness Measurement Noise. - Guoqing Wang 003; Zihao Zhang; Chunyu Yang 001; Lei Ma 013; Wei Dai 004 (IEEE Trans. Instrum. Meas., 2025)

Distributed Multi-Kernel Maximum Correntropy State-Constrained Kalman Filter Under Deception Attacks. - Guoqing Wang 003; Zhaolei Zhu; Chunyu Yang 001; Lei Ma 013; Wei Dai 004; Xinkai Chen (IEEE Trans. Netw. Sci. Eng., 2025)