EDBT 2026 Demo / reviewers in the wild / expert
Wanzhong Zhao
dblp:223/1533
· DBLP profile ↗
7ranked-venue papers in the field
1as first author
7since 2021 · last 2026
0000-0002-8750-3553ORCID · conflict
Domains — venue-derived; a paper can count in several
Other / Interdisciplinary · 7 (1 first)
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Game-theoretic motion planning method for dynamic interactive vehicles based on intent-awareness and multimodal trajectory prediction
Weihe Liang, Wenhe Cao, Chunyan Wang 0013, Wanzhong Zhao |
Adv. Eng. Informatics | 6 |
| 2026 | Fault-tolerant control of electro-mechanical brake based on low-order sliding mode control and quadratic programming allocation
Yinggang Xu, Daolin Zhou, Haoyu Lv, Xiangyu Wang 0005, Liang Li 0004, Wanzhong Zhao |
Adv. Eng. Informatics | 7 |
| 2026 | Virtual-real driver augmented reinforcement learning for human-like and personalized decision-making of autonomous vehicles
Yingnan Ye, Wanzhong Zhao, Xiaochuan Zhou, Zhongkai Luan, Chunyan Wang 0013 |
Adv. Eng. Informatics | 2 |
| 2026 | Long time-domain rollover accident prediction fusing the future motion state information of heavy vehicles
Yanxiang Xie, Chunyan Wang 0013, Wanzhong Zhao, Hengjia Zhang |
Adv. Eng. Informatics | 4 |
| 2026 | Tracking and synchronization control strategy of dual-motor steer-by-wire system considering uncertain time delayabstractWith the increasing intelligence of vehicles, the growing network communication load introduces uncertain time delays in control signal transmission, posing a more serious challenge to the precise tracking and synchronization control of dual-motor steer-by-wire systems. To address this problem, this paper proposes a tracking and synchronization control strategy. Firstly, a dynamic model of the steering motor incorporating time delays is established. On this basis, an Online Identification Adaptive Smith Predictor (OIASP) is designed to accurately estimate the uncertain time delays in the system. Furthermore, an Adaptive Hybrid Active Disturbance Rejection Control (AHADRC) controller is proposed, which utilizes a Phase Advance Extended State Observer (PAESO) to reduce phase lag in the observed states. Combined with feedforward control and linear state error feedback, a FF-LSEF composite control law is constructed, significantly enhancing the dynamic tracking performance and robustness against complex disturbances. Theoretical analysis demonstrates the favorable stability of the proposed AHADRC. Additionally, a mean deviation coupling synchronization control structure is incorporated to further enhance the synchronization accuracy of the steering system. Finally, the effectiveness of the proposed control strategy in suppressing uncertain time delays and external disturbances was verified through simulation experiments and hardware-in-the-loop tests. Wanzhong Zhao, Jiabing Gao, Chunyan Wang 0013, Heng Huang 0006, Jiayi Xu 0006 |
Adv. Eng. Informatics | 1 |
| 2025 | Shared control strategy grounded in double-layered human-machine game under information asymmetry
Wanzhong Zhao, Chunyan Wang 0013, Xiangyu Wang 0005 |
Adv. Eng. Informatics | 3 |
| 2025 | Adaptive risk tendency in uncertainty-aware motion planning using risk-sensitive Reinforcement Learning
Chongfeng Wei, Xiaolin Tang, Wanzhong Zhao, Chuan Hu 0002, Xi Zhang 0016 |
Adv. Eng. Informatics | 4 |