3 papers
physics.flu-dyn2025
Real-time reinforcement learning for turbulent state-dependent control in a bluff-body wake
Junjie Zhang, Chengwei Xia, Xianyang Jiang +2
Controlling turbulent dynamics remains a major challenge because of its chaotic, multi-scale dynamics, which strongly influence the performance of many fluid systems. Here we repor…
cs.IT2024
GNN-Empowered Effective Partial Observation MARL Method for AoI Management in Multi-UAV Network
Yuhao Pan, Xiucheng Wang, Zhiyao Xu +3
Unmanned Aerial Vehicles (UAVs), due to their low cost and high flexibility, have been widely used in various scenarios to enhance network performance. However, the optimization of…
eess.SY2024
Constructing and Evaluating Digital Twins: An Intelligent Framework for DT Development
Longfei Ma, Nan Cheng, Xiucheng Wang +4
The development of Digital Twins (DTs) represents a transformative advance for simulating and optimizing complex systems in a controlled digital space. Despite their potential, the…