עקוב אחר
Eurika Kaiser
Eurika Kaiser
כתובת אימייל מאומתת בדומיין uw.edu
כותרת
צוטט על ידי
צוטט על ידי
שנה
Sparse identification of nonlinear dynamics for model predictive control in the low-data limit
E Kaiser, JN Kutz, SL Brunton
Proceedings of the Royal Society A 474 (2219), 20180335, 2018
5772018
Chaos as an intermittently forced linear system
SL Brunton, BW Brunton, JL Proctor, E Kaiser, JN Kutz
Nature communications 8 (1), 19, 2017
5392017
Modern Koopman Theory for Dynamical Systems
SL Brunton, M Budišić, E Kaiser, JN Kutz
arXiv preprint arXiv:2102.12086, 2021
3622021
Data-driven discovery of Koopman eigenfunctions for control
E Kaiser, JN Kutz, SL Brunton
Machine Learning: Science and Technology 2 (3), 035023, 2021
3372021
Cluster-based reduced-order modelling of a mixing layer
E Kaiser, BR Noack, L Cordier, A Spohn, M Segond, M Abel, G Daviller, ...
Journal of Fluid Mechanics 754, 365-414, 2014
2662014
Time-delay observables for koopman: Theory and applications
M Kamb, E Kaiser, SL Brunton, JN Kutz
SIAM Journal on Applied Dynamical Systems 19 (2), 886-917, 2020
1452020
Dynamic mode decomposition for compressive system identification
Z Bai, E Kaiser, JL Proctor, JN Kutz, SL Brunton
Bulletin of the American Physical Society, 2017
942017
Drag reduction of a car model by linear genetic programming control
R Li, BR Noack, L Cordier, J Borée, F Harambat, E Kaiser, T Duriez
arXiv preprint arXiv:1609.02505, 2016
902016
Discovering time-varying aerodynamics of a prototype bridge by sparse identification of nonlinear dynamical systems
S Li, E Kaiser, S Laima, H Li, SL Brunton, JN Kutz
Physical Review E 100 (2), 022220, 2019
662019
Cluster-based feedback control of turbulent post-stall separated flows
AG Nair, CA Yeh, E Kaiser, BR Noack, SL Brunton, K Taira
Journal of Fluid Mechanics 875, 345-375, 2019
652019
Sindy with control: A tutorial
U Fasel, E Kaiser, JN Kutz, BW Brunton, SL Brunton
2021 60th IEEE Conference on Decision and Control (CDC), 16-21, 2021
582021
Discovering conservation laws from data for control
E Kaiser, JN Kutz, SL Brunton
2018 IEEE Conference on Decision and Control (CDC), 6415-6421, 2018
582018
Data-driven methods in fluid dynamics: Sparse classification from experimental data
Z Bai, SL Brunton, BW Brunton, JN Kutz, E Kaiser, A Spohn, BR Noack
Whither Turbulence and Big Data in the 21st Century?, 323-342, 2017
542017
Data-Driven Methods in Fluid Dynamics: Sparse Classification from Experimental Data
Z Bai, SL Brunton, BW Brunton, JN Kutz, E Kaiser, A Spohn, BR Noack
Whither Turbulence and Big Data in the 21st Century?, 323-342, 2017
542017
Cluster-based reduced-order modelling of the flow in the wake of a high speed train
J Östh, E Kaiser, S Krajnović, BR Noack
Journal of Wind Engineering and Industrial Aerodynamics 145, 327-338, 2015
522015
Data-driven approximations of dynamical systems operators for control
E Kaiser, JN Kutz, SL Brunton
The Koopman Operator in Systems and Control: Concepts, Methodologies, and …, 2020
502020
Learning Discrepancy Models From Experimental Data
K Kaheman, E Kaiser, B Strom, JN Kutz, SL Brunton
arXiv preprint arXiv:1909.08574, 2019
472019
Optimized sampling for multiscale dynamics
K Manohar, E Kaiser, SL Brunton, JN Kutz
Multiscale Modeling & Simulation 17 (1), 117-136, 2019
452019
Cluster-based analysis of cycle-to-cycle variations: application to internal combustion engines
Y Cao, E Kaiser, J Borée, BR Noack, L Thomas, S Guilain
Experiments in fluids 55, 1-8, 2014
352014
Deep reinforcement learning for optical systems: A case study of mode-locked lasers
C Sun, E Kaiser, SL Brunton, JN Kutz
Machine Learning: Science and Technology 1 (4), 045013, 2020
292020
המערכת אינה יכולה לבצע את הפעולה כעת. נסה שוב מאוחר יותר.
מאמרים 1–20