Neural network-based prediction of actively controlled sweep events in a fully turbulent channel flow
This study investigates the use of a feed-forward neural network (FNN) and a hybrid approach combining an FNN with proper orthogonal decomposition (POD) to estimate the effect of control on sweep events within an opposition control framework and reveals a high sensitivity to the actuation frequency and delay time param...