2 citations · 2 across the 1 of their papers we have counts for
2 papers
physics.flu-dyn2020★ 2 cited
Towards human-interpretable, automated learning of feedback control for the mixing layer
Hao Li, Guy Y. Cornejo Maceda, Yiqing Li +3
We propose an automated analysis of the flow control behaviour from an ensemble of control laws and associated time-resolved flow snapshots. The input may be the rich data base of…
physics.flu-dyn2019
Explorative gradient method for active drag reduction of the fluidic pinball and slanted Ahmed body
Yiqing Li, Wenshi Cui, Qing Jia +4
We address a challenge of active flow control: the optimization of many actuation parameters guaranteeing fast convergence and avoiding suboptimal local minima. This challenge is a…