Real-time reinforcement learning for turbulent state-dependent control in a bluff-body wake
Abstract Controlling turbulent dynamics remains a major challenge because their chaotic, multiscale nature strongly affects many fluid systems. Here, we present REACT, an autonomous reinforcement learning framework for real-time, state-dependent control of turbulent wake dynamics in a wind tunnel. Deployed on an Ahmed-...
Junjie Zhang, Chengwei Xia, Xinmiao Jiang et al.
· Communications Engineering · 0 citations