21 citations · 21 across the 2 of their papers we have counts for
2 papers
physics.flu-dyn2023
Machine learning based dimension reduction for a stable modeling of periodic flow phenomena
Hiroshi Omichi, Takeru Ishize, Koji Fukagata
In designing efficient feedback control laws for fluid flow, the modern control theory can serve as a powerful tool if the model can be represented by a linear ordinary differentia…
physics.flu-dyn2021★ 21 cited
Robust training approach of neural networks for fluid flow state estimations
Taichi Nakamura, Koji Fukagata
State estimation from limited sensor measurements is ubiquitously found as a common challenge in a broad range of fields including mechanics, astronomy, and geophysics. Fluid mecha…