Xudong Shi

Orcid: 0009-0000-2039-448X

Affiliations:
  • Tongji University, Department of Control Science and Engineering, Shanghai, China
  • Jiangnan University, Department of control theory and control engineering, Wuxi, China (former)


According to our database1, Xudong Shi authored at least 13 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Value Approximator-Based Learning Model Predictive Control for Iterative Tasks.
IEEE Trans. Autom. Control., October, 2024

Principal Component-Based Semi-Supervised Extreme Learning Machine for Soft Sensing.
IEEE Trans Autom. Sci. Eng., July, 2024

Robust Learning-Based Model Predictive Control for Intelligent Vehicles With Unknown Dynamics and Unbounded Disturbances.
IEEE Trans. Intell. Veh., February, 2024

New Class Discovery of Steel Surface Defects Using Multi-View Self-Labeling and Overclustering.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2024

A CNN-Based Fast Generalized Voronoi Diagrams Framework for Path Planning.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2024

A New Deep Learning Model for Semi-supervised Soft-sensing of an Industrial Production Process.
Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

2023
Moment-Based Model Predictive Control of Autonomous Systems.
IEEE Trans. Intell. Veh., April, 2023

Minority-Weighted Graph Neural Network for Imbalanced Node Classification in Social Networks of Internet of People.
IEEE Internet Things J., 2023

2022
Novel L1 Regularized Extreme Learning Machine for Soft-Sensing of an Industrial Process.
IEEE Trans. Ind. Informatics, 2022

Domain Adaptation Soft Sensing with Parameter Transferring.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2022

Generic Multi-agent Cooperative Control via Finite-time Distributed MPC.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2022

2020
Adaptive ensemble learning strategy for semi-supervised soft sensing.
J. Frankl. Inst., 2020

2018
Soft sensor modeling with a selective updating strategy for Gaussian process regression based on probabilistic principle component analysis.
J. Frankl. Inst., 2018


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