Chunyan Wang 0013

dblp:223/1537 · DBLP profile ↗
← Back
5ranked-venue papers in the field
0as first author
5since 2021 · last 2026
0000-0002-3913-8192ORCID · conflict

Domains — venue-derived; a paper can count in several

Other / Interdisciplinary · 5
YearPublicationVenuePosition
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. Informatics3
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. Informatics6
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. Informatics3
2026 Tracking and synchronization control strategy of dual-motor steer-by-wire system considering uncertain time delay
abstract
With 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. Informatics3
2025 Shared control strategy grounded in double-layered human-machine game under information asymmetry
Wanzhong Zhao, Chunyan Wang 0013, Xiangyu Wang 0005
Adv. Eng. Informatics4