Wei Dai
Orcid: 0000-0003-3057-7225Affiliations:
- China University of Mining Technology, School of Information and Electrical Engineering, Xuzhou, China
- Northeastern University, State Key Laboratory of Synthetical Automation for Process Industries, Shenyang, China (PhD 2014)
According to our database1,
Wei Dai
authored at least 46 papers
between 2014 and 2024.
Collaborative distances:
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Bibliography
2024
Online Sequential Sparse Robust Neural Networks With Random Weights for Imperfect Industrial Streaming Data Modeling.
IEEE Trans Autom. Sci. Eng., April, 2024
Operational Optimal Tracking Control for Industrial Multirate Systems Subject to Unknown Disturbances.
IEEE Trans. Syst. Man Cybern. Syst., January, 2024
Auxiliary Model and Key-Term Separation-Based Identification of Hammerstein OE System With Missing Outputs and Outliers.
IEEE Trans. Instrum. Meas., 2024
Probability-Based Identification of Hammerstein Systems With Asymmetric Noise Characteristics.
IEEE Trans. Instrum. Meas., 2024
2023
Robust Kalman Filter for Systems With Colored Heavy-Tailed Process and Measurement Noises.
IEEE Trans. Circuits Syst. II Express Briefs, November, 2023
Joint Watermarking-Based Replay Attack Detection for Industrial Process Operation Optimization Cyber-Physical Systems.
IEEE Trans. Ind. Informatics, August, 2023
Formation Control for Multiple Quadrotors Under DoS Attacks via Singular Perturbation.
IEEE Trans. Aerosp. Electron. Syst., August, 2023
IEEE Trans. Circuits Syst. II Express Briefs, June, 2023
A lightweight fast human activity recognition method using hybrid unsupervised-supervised feature.
Neural Comput. Appl., May, 2023
IEEE Trans. Artif. Intell., April, 2023
Linear quadratic tracking control of unknown systems: A two-phase reinforcement learning method.
Autom., February, 2023
Recursive Watermarking-Based Transient Covert Attack Detection for the Industrial CPS.
IEEE Trans. Inf. Forensics Secur., 2023
H<sub>∞</sub> Control for a Class of Two-Time-Scale Cyber-Physical Systems: An Asynchronous Dynamic Event-Triggered Protocol.
IEEE Trans. Cybern., 2023
Learning with privileged information for short-term photovoltaic power forecasting using stochastic configuration network.
Inf. Sci., 2023
Orthogonal stochastic configuration networks with adaptive construction parameter for data analytics.
Ind. Artif. Intell., 2023
LightGCNet: A Lightweight Geometric Constructive Neural Network for Data-Driven Soft sensors.
CoRR, 2023
An Interpretable Constructive Algorithm for Incremental Random Weight Neural Networks and Its Application.
CoRR, 2023
2022
Short-term photovoltaic power forecasting with adaptive stochastic configuration network ensemble.
WIREs Data Mining Knowl. Discov., 2022
Security Control for Multi-Time-Scale CPSs Under DoS Attacks: An Improved Dynamic Event-Triggered Mechanism.
IEEE Trans. Netw. Sci. Eng., 2022
Reinforcement Learning-Based Composite Optimal Operational Control of Industrial Systems With Multiple Unit Devices.
IEEE Trans. Ind. Informatics, 2022
Compact Incremental Random Weight Network for Estimating the Underground Airflow Quantity.
IEEE Trans. Ind. Informatics, 2022
IEEE Trans. Ind. Informatics, 2022
IEEE Trans. Ind. Informatics, 2022
IEEE Trans. Cybern., 2022
Reinforcement Learning-Based Sliding Mode Tracking Control for the Two-Time-Scale Systems: Dealing With Actuator Attacks.
IEEE Trans. Circuits Syst. II Express Briefs, 2022
Incremental learning paradigm with privileged information for random vector functional-link networks: IRVFL+.
Neural Comput. Appl., 2022
Int. J. Mach. Learn. Cybern., 2022
Inf. Sci., 2022
Centralized and Distributed Robust State Estimation Over Sensor Networks Using Elliptical Distribution.
IEEE Internet Things J., 2022
2021
Observer-Based Control for the Two-Time-Scale Cyber-Physical Systems: The Dual-Scale DoS Attacks Case.
IEEE Trans. Netw. Sci. Eng., 2021
Dual-Rate Adaptive Optimal Tracking Control for Dense Medium Separation Process Using Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2021
IEEE Trans. Artif. Intell., 2021
2020
Observed-Based Asynchronous Control of Linear Semi-Markov Jump Systems With Time-Varying Mode Emission Probabilities.
IEEE Trans. Circuits Syst., 2020
Driving amount based stochastic configuration network for industrial process modeling.
Neurocomputing, 2020
Planning and Scheduling for Large-Scale Robot Networks: An Efficient and Comprehensive Approach.
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.
Inf. Sci., 2019
2018
IEEE Trans. Control. Syst. Technol., 2018
2017
IEEE Access, 2017
Robust Regularized Random Vector Functional Link Network and Its Industrial Application.
IEEE Access, 2017
Rapid Modeling Method for Performance Prediction of Centrifugal Compressor Based on Model Migration and SVM.
IEEE Access, 2017
Proceedings of the 2017 American Control Conference, 2017
2015
IEEE Trans. Ind. Electron., 2015
Particle size estimate of grinding processes using random vector functional link networks with improved robustness.
Neurocomputing, 2015
2014
Multivariable Disturbance Observer Based Advanced Feedback Control Design and Its Application to a Grinding Circuit.
IEEE Trans. Control. Syst. Technol., 2014
IEEE Trans Autom. Sci. Eng., 2014