Yi-Yang Jiang

Floquet-guided reinforcement learning for active flow control of a low-Reynolds-number three-dimensional wing

Reinforcement-learning (RL) control of three-dimensional separated flows is computationally demanding because the number of sensor inputs and independent actuator outputs increase rapidly with spanwise resolution. This study develops a Floquet-guided RL strategy for active flow control of a National Advisory Committee...