Xudong Zhang
Orcid: 0000-0002-3943-1428Affiliations:
- Beijing Institute of Technology, School of Mechanical Engineering, Beijing, China
- Technical University of Berlin, Germany (PhD 2017)
According to our database1,
Xudong Zhang
authored at least 30 papers
between 2017 and 2025.
Collaborative distances:
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Bibliography
2025
Dependency-Aware Task Offloading Strategy via Heterogeneous Graph Neural Network and Deep Reinforcement Learning.
IEEE Internet Things J., July, 2025
Hierarchical Path Planning and Motion Control Framework Using Adaptive Scale Based Bidirectional Search and Heuristic Learning Based Predictive Control.
IEEE Trans. Veh. Technol., June, 2025
A Systematic Flexible-Window-Based Scheduling Framework for Time-Sensitive Networking.
IEEE Internet Things J., June, 2025
Improved Deep Reinforcement Learning for Efficient Motion Control of Autonomous Vehicle With Domain-Centralized Electronic and Electrical Architecture.
IEEE Internet Things J., June, 2025
IEEE Trans. Intell. Veh., January, 2025
2024
Efficient Motion Control for Heterogeneous Autonomous Vehicle Platoon Using Multilayer Predictive Control Framework.
IEEE Internet Things J., December, 2024
IRFS: A CQF Scheduling Method Integrating Queue Resources and Flow Features in Time-Sensitive Networking.
IEEE Trans. Veh. Technol., October, 2024
Joint Routing and Scheduling Optimization of In-Vehicle Time-Sensitive Networks Based on Improved Grey Wolf Optimizer.
IEEE Internet Things J., February, 2024
Graph Attention Network-Based Deep Reinforcement Learning Scheduling Framework for in-Vehicle Time-Sensitive Networking.
IEEE Trans. Ind. Informatics, 2024
Hierarchical path planner combining probabilistic roadmap and deep deterministic policy gradient for unmanned ground vehicles with non-holonomic constraints.
J. Frankl. Inst., 2024
IEEE Internet Things J., 2024
Improving policy training for autonomous driving through randomized ensembled double Q-learning with Transformer encoder feature evaluation.
Appl. Soft Comput., 2024
Task-Degradation Aware Adaptive Dynamic Scheduling for Priority-Based Automotive Cyber-Physical Systems.
IEEE Access, 2024
IEEE Access, 2024
Motion Control of Autonomous Vehicle with Domain-Centralized Electronic and Electrical Architecture based on Predictive Reinforcement Learning Control Method.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024
2023
Hierarchical path planner for unknown space exploration using reinforcement learning-based intelligent frontier selection.
Expert Syst. Appl., November, 2023
Hierarchical Motion Planning and Tracking for Autonomous Vehicles Using Global Heuristic Based Potential Field and Reinforcement Learning Based Predictive Control.
IEEE Trans. Intell. Transp. Syst., August, 2023
2022
IEEE Veh. Technol. Mag., 2022
Predictive Energy Management of Plug-in Hybrid Electric Vehicles by Real-Time Optimization and Data-Driven Calibration.
IEEE Trans. Veh. Technol., 2022
2021
Data-Driven Based Cruise Control of Connected and Automated Vehicles Under Cyber-Physical System Framework.
IEEE Trans. Intell. Transp. Syst., 2021
2020
A Real-Time Nonlinear Model Predictive Controller for Yaw Motion Optimization of Distributed Drive Electric Vehicles.
IEEE Trans. Veh. Technol., 2020
IEEE Access, 2020
Green Light Optimal Speed Advisory System Designed for Electric Vehicles Considering Queuing Effect and Driver's Speed Tracking Error.
IEEE Access, 2020
2019
An Integrated Longitudinal and Lateral Vehicle Following Control System With Radar and Vehicle-to-Vehicle Communication.
IEEE Trans. Veh. Technol., 2019
A Cruise Control Method for Connected Vehicle Systems Considering Side Vehicles Merging Behavior.
IEEE Access, 2019
An Online Correction Predictive EMS for a Hybrid Electric Tracked Vehicle Based on Dynamic Programming and Reinforcement Learning.
IEEE Access, 2019
IEEE Access, 2019
An Integrated Path-following and Yaw Motion Control Strategy for Autonomous Distributed Drive Electric Vehicles with Differential Steering.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019
2018
Energy-Efficient Toque Allocation Design of Traction and Regenerative Braking for Distributed Drive Electric Vehicles.
IEEE Trans. Veh. Technol., 2018
2017
Karush-Kuhn-Tuckert based global optimization algorithm design for solving stability torque allocation of distributed drive electric vehicles.
J. Frankl. Inst., 2017