Wei Dai

According to our database, Wei Dai authored at least 56 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Compact Constraint Incremental Method for Random Weight Networks and Its Application.

Qianjin Wang, Wei Dai, Chunfu Zhang, Jiaji Zhu, Xiaoping Ma

IEEE Trans. Neural Networks Learn. Syst., November, 2024

Predicting Particle Size of Copper Ore Grinding With Stochastic Configuration Networks.

Dianhui Wang, Pengxin Tian, Wei Dai, Gang Yu

IEEE Trans. Ind. Informatics, November, 2024

Multi-target regression via stochastic configuration networks with modular stacked structure.

Shang Wu, Xin Liu, Gang Yu, Wei Dai

Int. J. Mach. Learn. Cybern., July, 2024

Asynchronous Event-Triggered Control for Two-Time-Scale CPSs With Dual-Scale Channel: Dealing With Hybrid Attacks.

Ying Zhang, Lei Ma, Chunyu Yang, Guoqing Wang, Wei Dai

IEEE Trans. Control. Netw. Syst., June, 2024

Event-Triggered Constrained Optimal Control for Organic Rankine Cycle Systems via Safe Reinforcement Learning.

Lingzhi Zhang, Runze Lin, Lei Xie, Wei Dai, Hongye Su

IEEE Trans. Neural Networks Learn. Syst., May, 2024

Online Sequential Sparse Robust Neural Networks With Random Weights for Imperfect Industrial Streaming Data Modeling.

Chaoyao Wen, Ping Zhou, Wei Dai, Liang Dong, Tianyou Chai

IEEE Trans Autom. Sci. Eng., April, 2024

Operational Optimal Tracking Control for Industrial Multirate Systems Subject to Unknown Disturbances.

Lingzhi Zhang, Lei Xie, Wei Dai, Shan Lu, Hongye Su

IEEE Trans. Syst. Man Cybern. Syst., January, 2024

InterGCNet: An Interpolation Geometric Constructive Neural Network for Industrial Data Modeling.

Jing Nan, Yan Qin, Anushiya Arunan, Wei Dai, Chau Yuen

IEEE Trans. Instrum. Meas., 2024

Auxiliary Model and Key-Term Separation-Based Identification of Hammerstein OE System With Missing Outputs and Outliers.

Xin Liu, Chen Wang, Wei Dai

IEEE Trans. Instrum. Meas., 2024

Probability-Based Identification of Hammerstein Systems With Asymmetric Noise Characteristics.

Xin Liu, Chen Wang, Wei Dai

IEEE Trans. Instrum. Meas., 2024

Stochastic configuration networks with improved supervisory mechanism.

Jing Nan, Wei Dai, Dianhui Wang

Inf. Sci., 2024

A novel stochastic configuration network with enhanced feature extraction for industrial process modeling.

Qianjin Wang, Wei Yang, Wei Dai, Xiaoping Ma

Neurocomputing, 2024

Vulnerability analysis for a class of nonlinear cyber-physical systems under stealthy attacks.

Qirui Zhang, Wei Dai, Chunyu Yang, Xinkai Chen

Autom., 2024

Harnessing Neural Unit Dynamics for Effective and Scalable Class-Incremental Learning.

Depeng Li, Tianqi Wang, Junwei Chen, Wei Dai, Zhigang Zeng

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Robust Kalman Filter for Systems With Colored Heavy-Tailed Process and Measurement Noises.

Guoqing Wang, Jiaxiang Zhao, Chunyu Yang, Lei Ma, Xiaoxiao Fan, Wei Dai

IEEE Trans. Circuits Syst. II Express Briefs, November, 2023

Joint Watermarking-Based Replay Attack Detection for Industrial Process Operation Optimization Cyber-Physical Systems.

Chunyu Yang, Zhong Chu, Lei Ma, Guoqing Wang, Wei Dai

IEEE Trans. Ind. Informatics, August, 2023

Formation Control for Multiple Quadrotors Under DoS Attacks via Singular Perturbation.

Ying Zhang, Lei Ma, Chunyu Yang, Linna Zhou, Guoqing Wang, Wei Dai

IEEE Trans. Aerosp. Electron. Syst., August, 2023

Q-Learning-Based Multi-Rate Optimal Control for Process Industries.

Zhenxing Xia, Meng-Jie Hu, Wei Dai, Huaicheng Yan, Xiaoping Ma

IEEE Trans. Circuits Syst. II Express Briefs, June, 2023

A lightweight fast human activity recognition method using hybrid unsupervised-supervised feature.

Jing Nan, Chuanfeng Ning, Gang Yu, Wei Dai

Neural Comput. Appl., May, 2023

Multitarget Stochastic Configuration Network and Applications.

Qianjin Wang, Qiqiang Hong, Shang Wu, Wei Dai

IEEE Trans. Artif. Intell., April, 2023

Linear quadratic tracking control of unknown systems: A two-phase reinforcement learning method.

Jianguo Zhao, Chunyu Yang, Weinan Gao, Hamidreza Modares, Xinkai Chen, Wei Dai

Autom., February, 2023

Recursive Watermarking-Based Transient Covert Attack Detection for the Industrial CPS.

Lei Ma, Zhong Chu, Chunyu Yang, Guoqing Wang, Wei Dai

IEEE Trans. Inf. Forensics Secur., 2023

H_∞ Control for a Class of Two-Time-Scale Cyber-Physical Systems: An Asynchronous Dynamic Event-Triggered Protocol.

Lei Ma, Chunyu Yang, Guoqing Wang, Wei Dai, Chenxiao Cai

IEEE Trans. Cybern., 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

Inf. Sci., 2023

Orthogonal stochastic configuration networks with adaptive construction parameter for data analytics.

Wei Dai, Chuanfeng Ning, Shiyu Pei, Song Zhu, Xuesong Wang

Ind. Artif. Intell., 2023

LightGCNet: A Lightweight Geometric Constructive Neural Network for Data-Driven Soft sensors.

Jing Nan, Yan Qin, Wei Dai, Chau Yuen

CoRR, 2023

An Interpretable Constructive Algorithm for Incremental Random Weight Neural Networks and Its Application.

Jing Nan, Wei Dai, Guan Yuan, Ping Zhou

CoRR, 2023

2022

Short-term photovoltaic power forecasting with adaptive stochastic configuration network ensemble.

Xifeng Guo, Xinlu Wang, Yanshuang Ao, Wei Dai, Ye Gao

WIREs Data Mining Knowl. Discov., 2022

Security Control for Multi-Time-Scale CPSs Under DoS Attacks: An Improved Dynamic Event-Triggered Mechanism.

Lei Ma, Hongyu Liu, Linna Zhou, Chunyu Yang, Wei Dai, Guoqing Wang

IEEE Trans. Netw. Sci. Eng., 2022

Reinforcement Learning-Based Composite Optimal Operational Control of Industrial Systems With Multiple Unit Devices.

Jianguo Zhao, Chunyu Yang, Wei Dai, Weinan Gao

IEEE Trans. Ind. Informatics, 2022

Compact Incremental Random Weight Network for Estimating the Underground Airflow Quantity.

Qianjin Wang, Wei Dai, Ping Lin, Ping Zhou

IEEE Trans. Ind. Informatics, 2022

Hybrid Parallel Stochastic Configuration Networks for Industrial Data Analytics.

Wei Dai, Xinyu Zhou, Depeng Li, Song Zhu, Xuesong Wang

IEEE Trans. Ind. Informatics, 2022

Multi-Rate Layered Operational Optimal Control for Large-Scale Industrial Processes.

Wei Dai, Tongyun Li, Lingzhi Zhang, Yao Jia, Huaicheng Yan

IEEE Trans. Ind. Informatics, 2022

New Criteria on Stability of Dynamic Memristor Delayed Cellular Neural Networks.

Kun Deng, Song Zhu, Wei Dai, Chunyu Yang, Shiping Wen

IEEE Trans. Cybern., 2022

Reinforcement Learning-Based Sliding Mode Tracking Control for the Two-Time-Scale Systems: Dealing With Actuator Attacks.

Ying Zhang, Lei Ma, Chunyu Yang, Wei Dai

IEEE Trans. Circuits Syst. II Express Briefs, 2022

Incremental learning paradigm with privileged information for random vector functional-link networks: IRVFL+.

Wei Dai, Yanshuang Ao, Linna Zhou, Ping Zhou, Xuesong Wang

Neural Comput. Appl., 2022

Stochastic configuration networks for imbalanced data classification.

Wei Dai, Chuanfeng Ning, Jing Nan, Dianhui Wang

Int. J. Mach. Learn. Cybern., 2022

Federated stochastic configuration networks for distributed data analytics.

Wei Dai, Langlong Ji, Dianhui Wang

Inf. Sci., 2022

Centralized and Distributed Robust State Estimation Over Sensor Networks Using Elliptical Distribution.

Guoqing Wang, Chunyu Yang, Lei Ma, Wei Dai

IEEE Internet Things J., 2022

A New Learning Paradigm for Stochastic Configuration Network: SCN+.

Yanshuang Ao, Xinyu Zhou, Wei Dai

CoRR, 2022

2021

Observer-Based Control for the Two-Time-Scale Cyber-Physical Systems: The Dual-Scale DoS Attacks Case.

Ying Zhang, Lei Ma, Guoqing Wang, Chunyu Yang, Linna Zhou, Wei Dai

IEEE Trans. Netw. Sci. Eng., 2021

Dual-Rate Adaptive Optimal Tracking Control for Dense Medium Separation Process Using Neural Networks.

Wei Dai, Lingzhi Zhang, Jun Fu, Tianyou Chai, Xiaoping Ma

IEEE Trans. Neural Networks Learn. Syst., 2021

Two-Dimensional Broad Learning System for Data Analytic.

Wei Dai, Rui Zhang, Qianjin Wang, Yuhu Cheng, Xuesong Wang

IEEE Trans. Artif. Intell., 2021

2020

Observed-Based Asynchronous Control of Linear Semi-Markov Jump Systems With Time-Varying Mode Emission Probabilities.

Yongxiao Tian, Huaicheng Yan, Wei Dai, Shiming Chen, Xisheng Zhan

IEEE Trans. Circuits Syst., 2020

Driving amount based stochastic configuration network for industrial process modeling.

Qianjin Wang, Wei Dai, Xiaoping Ma, Zhigen Shang

Neurocomputing, 2020

Planning and Scheduling for Large-Scale Robot Networks: An Efficient and Comprehensive Approach.

Zhe Liu, Yanzi Miao, Wei Dai, Yu Zhai

Proceedings of the 2020 IEEE International Conference on Real-time Computing and Robotics, 2020

2019

Stochastic configuration networks with block increments for data modeling in process industries.

Wei Dai, Depeng Li, Ping Zhou, Tianyou Chai

Inf. Sci., 2019

2018

Data-Driven PID Controller and Its Application to Pulp Neutralization Process.

Yajun Zhang, Yao Jia, Tianyou Chai, Dianhui Wang, Wei Dai, Jun Fu

IEEE Trans. Control. Syst. Technol., 2018

2017

Configurable Platform for Optimal-Setting Control of Grinding Processes.

Wei Dai, Gang Huang, Fei Chu, Tianyou Chai

IEEE Access, 2017

Robust Regularized Random Vector Functional Link Network and Its Industrial Application.

Wei Dai, Qixin Chen, Fei Chu, Xiaoping Ma, Tianyou Chai

IEEE Access, 2017

Rapid Modeling Method for Performance Prediction of Centrifugal Compressor Based on Model Migration and SVM.

Fei Chu, Bangwu Dai, Wei Dai, Runda Jia, Xiaoping Ma, Fuli Wang

IEEE Access, 2017

Software platform for optimal setting control of complex industrial processes.

Wei Dai, Fei Chu, Chunyu Yang, Ying Chen, Tianyou Chai

Proceedings of the 2017 American Control Conference, 2017

2015

Data-Driven Optimization Control for Safety Operation of Hematite Grinding Process.

Wei Dai, Tianyou Chai, Simon X. Yang

IEEE Trans. Ind. Electron., 2015

Particle size estimate of grinding processes using random vector functional link networks with improved robustness.

Wei Dai, Qiang Liu, Tianyou Chai

Neurocomputing, 2015

2014

Multivariable Disturbance Observer Based Advanced Feedback Control Design and Its Application to a Grinding Circuit.

Ping Zhou, Wei Dai, Tianyou Chai

IEEE Trans. Control. Syst. Technol., 2014

Modeling and Simulation of Whole Ball Mill Grinding Plant for Integrated Control.

Shaowen Lu, Ping Zhou, Tianyou Chai, Wei Dai

IEEE Trans Autom. Sci. Eng., 2014