Ensemble Kalman filter for vortex models of disturbed aerodynamic flows M Le Provost, JD Eldredge Physical Review Fluids 6 (5), 050506, 2021 | 25 | 2021 |
Deep learning and data assimilation approaches to sensor reduction in estimation of disturbed separated flows M Le Provost, W Hou, J Eldredge AIAA Scitech 2020 Forum, 0799, 2020 | 12 | 2020 |
A low-rank ensemble Kalman filter for elliptic observations M Le Provost, R Baptista, Y Marzouk, JD Eldredge Proceedings of the Royal Society A, 2022 | 10 | 2022 |
Real-time roll and pitching moment identification with distributed surface pressure sensors on a UCAS wing M Le Provost, X He, DR Williams 2018 AIAA Aerospace Sciences Meeting, 0326, 2018 | 9 | 2018 |
A low-rank nonlinear ensemble filter for vortex models of aerodynamic flows M Le Provost, R Baptista, Y Marzouk, J Eldredge AIAA Scitech 2021 Forum, 1937, 2021 | 8 | 2021 |
Dynamic active flow control of the roll moment on a generic UCAS wing X He, M Le Provost, DR Williams 2018 AIAA Aerospace Sciences Meeting, 0327, 2018 | 8 | 2018 |
Pressure feedback active flow control of unsteady roll moment on a UCAS delta wing X He, X An, DR Williams, M Le Provost AIAA Scitech 2019 Forum, 0883, 2019 | 5 | 2019 |
Applications of ensemble Kalman filtered vortex modeling to gust--wing interactions J Eldredge, M Le Provost, R Baptista, Y Marzouk AIAA Scitech 2021 Forum, 1936, 2021 | 4 | 2021 |
Mean transport of inertial particles in viscous streaming flows M Le Provost, JD Eldredge Physical Review Fluids 5 (5), 054302, 2020 | 4 | 2020 |
SINDy analysis of disturbance and plant model superposition on a rolling delta wing M Le Provost, DR Williams, S Brunton 2018 Flow control conference, 3068, 2018 | 2 | 2018 |
An adaptive ensemble filter for heavy-tailed distributions: tuning-free inflation and localization M Le Provost, R Baptista, JD Eldredge, Y Marzouk arXiv preprint arXiv:2310.08741, 2023 | 1 | 2023 |
Unsteady Roll Moment Control Using Active Flow Control on a Delta Wing X He, ML Provost, X An, DR Williams Active Flow and Combustion Control 2018: Papers Contributed to the …, 2019 | 1 | 2019 |
Preserving linear invariants in ensemble filtering methods M Le Provost, J Glaubitz, Y Marzouk arXiv preprint arXiv:2404.14328, 2024 | | 2024 |
Bayesian inference of vorticity in unbounded flow from limited pressure measurements JD Eldredge, M Le Provost arXiv preprint arXiv:2308.07399, 2023 | | 2023 |
Regularization of the ensemble Kalman filter for non-local observations: application to elliptic observations M Le Provost, R Baptista, Y Marzouk, JD Eldredge Fall Meeting 2022, 2022 | | 2022 |
The inference of an incompressible flow from limited pressure data J Eldredge, M Le Provost Bulletin of the American Physical Society 67, 2022 | | 2022 |
Flow estimation with point vortex models M Le Provost UCLA, 2022 | | 2022 |
Potential flows: a playground for non-local and nonlinear inference problems M Le Provost, R Baptista, Y Marzouk, J Eldredge APS Division of Fluid Dynamics Meeting Abstracts, T02. 008, 2021 | | 2021 |
Linear and nonlinear ensemble filtering of low-order aerodynamic models M Le Provost, R Baptista, YM Marzouk, JD Eldredge APS Division of Fluid Dynamics Meeting Abstracts, Y09. 006, 2020 | | 2020 |
Fast Lagrangian-averaged transport of particles in streaming flows M Le Provost, JD Eldredge APS Division of Fluid Dynamics Meeting Abstracts, G04. 004, 2019 | | 2019 |