4 papers
Data-Driven Robust MPC for Unknown Nonlinear Systems via Set-Membership Learning
Yuzhou Wei, Wenjie Liu, Yifan Xie +3
Data-driven model predictive control (MPC) has become an attractive approach for controlling unknown systems, especially when data are corrupted by noise. However, most existing da…
Robust Data-Driven Nash Equilibrium Seeking under Partial-Decision Information
Linqi Wang, Yifei Li, Wenjie Liu +3
This paper presents a data-driven framework for decentralized Nash equilibrium (NE) seeking in multi-agent systems with unknown linear dynamics subject to exogenous disturbances, o…
BlinkBud: Detecting Hazards from Behind via Sampled Monocular 3D Detection on a Single Earbud
Yunzhe Li, Jiajun Yan, Yuzhou Wei +7
Failing to be aware of speeding vehicles approaching from behind poses a huge threat to the road safety of pedestrians and cyclists. In this paper, we propose BlinkBud, which utili…
Distributed Data-driven Unknown-input Observers for State Estimation
Yuzhou Wei, Giorgia Disarò, Wenjie Liu +3
Unknown inputs related to, e.g., sensor aging, modeling errors, or device bias, represent a major concern in wireless sensor networks, as they degrade the state estimation performa…