59 citations · 61 across the 2 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-dyn2020★ 59 cited
Cluster-based network model
Hao Li, Daniel Fernex, Richard Semaan +3
We propose an automatable data-driven methodology for robust nonlinear reduced-order modelling from time-resolved snapshot data. In the kinematical coarse-graining, the snapshots a…