Publications
2020
[1]
Kaiser, E.,
Kutz, J. N. and
Brunton, S. L.
(2018)
“Data-driven approximations of dynamical systems operators for control”.
Invited chapter submitted for the book
The Koopman Operator in Systems and Control: Theory, Numerics, and Applications in
Springer.
arXiv
2019
[2]
Kaheman, K.,
Kaiser, E., Strom, B., Kutz, J .N. and Brunton, S. L.
“Learning Discrepancy Models From Experimental Data.”
Invited paper. To be presented at
58th IEEE Conference on Decision and Control (CDC2019),
at the Palais des Congrés et des Expositions Nice Acropolis, Nice, France, December 11—13, 2019.
arXiv
[3]
Nair, A. G.,
Yeh, C. A.,
Kaiser, E.,
Noack, B. R.,
Brunton, S. L. and
Taira, K.
(2019)
“Cluster-based feedback control of turbulent post-stall separated flows”.
Journal of Fluid Mechanics,
875, pp. 345—375.
arXiv
|
Online
[4]
Li, S.,
Kaiser, E.,
Laima, S.,
Li, H.,
Brunton, S. L and
Kutz, J. N.
(2019)
“Discovering time-varying aerodynamics of a prototype bridge by sparse identification of nonlinear dynamical systems”.
Physical Review E, 100 (
2), 022220.
arXiv
|
Online
[5]
Manohar, K.,
Kaiser, E.,
Brunton, S. L and
Kutz, J. N.
(2019)
“Optimized Sampling for Multiscale Dynamics”.
SIAM Multiscale, Modeling & Simulation, 17(
1): 117—136.
Online
|
PDF
|
Code
[6]
Ishar, R.,
Kaiser, E.,
Morzynski, M.,
Fernex, D.,
Semaan, R.,
Albers, M.,
Meysonnat, P. S.,
Schröder, W. and
Noack, B. R.
(2019)
“Metric for attractor overlap”.
Journal of Fluid Mechanics,
874, pp. 720—755.
arXiv
|
Online
[7]
Fernex, D., Semann, R., Albers, M., Meysonnat, P. S., Schröder, W., Ishar, R.,
Kaiser, E. and Noack, B. R.
“Cluster-based network model for drag reduction mechanisms of an actuated turbulent boundary layer.”
Invited paper.
(2019)
Proceedings in Applied Mathematics and Mechanics,
Vol. 17(
1), 201900219.
Online
|
PDF
2018
[8]
Kaiser, E., Kutz, J. N. and Brunton, S. L.
“Discovering conservation laws from data for control.”
Invited paper. Presented at
57th IEEE Conference on Decision and Control (CDC2018),
at the Fontainebleau in Miami Beach, FL, USA, December 17—19, 2018.
PDF
[9]
Sierra, C. A.,
Metzler, H.,
Müller, M. and
Kaiser, E.
(2018)
“Closed-loop control of the global carbon-climate system”, under review in Proc. Natl. Acad. Sci.
[10]
Niven, R. K.,
Cordier, L.,
Kaiser, E.,
Schlegel, M.,
Noack, B. R. and
Hérouard, N.,
(2018)
“Rethinking the Reynolds Transport Theorem, Liouville Equation, and
Perron-Frobenius and Koopman Operators: Spatial and Generalized Parametric
Forms”, arXiv Preprint arXiv:1810.06022.
Under review in
Journal of Physics A.
arXiv
[11]
Kaiser, E.,
Kutz, J. N. and
Brunton, S. L.
(2018)
“Sparse identification of nonlinear dynamics for model predictive control in the low-data limit”.
Roy. Soc. Proc. A,
474:20180335.
Online / PDF
|
Code
[12]
Kamb, M.,
Kaiser, E.,
Brunton, S. L. and
Kutz, J. N.
(2018)
“Time-Delay Observables for Koopman: Theory and Applications”.
arXiv Preprint arXiv:1810.01479. Under review in
SIAM Applied Dynamical Systems.
arXiv
[13]
Bai, Z.,
Kaiser, E.,
Proctor, J. L.,
Kutz, J. N. and
Brunton, S. L.
(2018)
“Dynamic mode decomposition for compressive system identification”.
AIAA Journal Vol. 0(
0), J057870, pp. 1-14.
Online / PDF
|
Code
2017
[14]
Loosen, S.,
Kaiser, E.,
Noack, B. R. and
Schröder, W.
(2017)
“Cluster-based reduced-order modeling of the transonic wake of a generic space launcher configuration.”
Sonderforschungsbereich/Transregio 40,
Proceedings of the Summer Program 2017.
PDF
[15]
Kaiser, E.,
Morzyński, M.,
Daviller, G.,
Kutz, J. N.,
Brunton, B. W. and
Brunton, S. L.
(2017)
“Sparsity enabled cluster reduced-order models for control.”
Journal of Computational Physics, 352:388—409.
Online / PDF
|
Code
[16]
Brunton, S. L., Brunton, B. W., Proctor, J. L.,
Kaiser, E. & Kutz, J. N.
(2017)
“Chaos as an intermittently forced linear system.”
Nature Communications, 8(
19):1—9.
Online / PDF
[17]
Kaiser, E.,
Kutz, J. N. and
Brunton, S. L.
(2017)
“Discovery of Koopman eigenfunctions for control.”
arXiv:1707.01146,
under review in
SIAM Applied Dynamical Systems.
arXiv
|
Code
[18]
Li, R.,
Noack, B. R.,
Cordier, L.,
Borée, J.,
Kaiser, E. and
Harambat, F.
(2018)
“Linear genetic programming control for strongly nonlinear dynamics with frequency crosstalk.”
Arch. Mech., 70(
6): 505—534.
arXiv
[19]
Ferrari, S., Hu, Y., Martinuzzi, R. J.,
Kaiser, E., Noack, B. R., Östh, J. & Krajnović, S.
“Visualizing Vortex Clusters in the Wake of a High-Speed Train.”
Paper presented at the
2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC2017),
Banff, Canada, 5—8 October, 2017.
PDF
[20]
Kaiser, E., Li, R. and Noack, B. R.
“On the control landscape topology.”
Extended abstract presented at the
The 20th World Congress of the International Federation of Automatic Control (IFAC17),
Toulouse, France, 9—14 July, 2017.
PDF
[21]
Kaiser, E.,
Noack, B. R.,
Spohn, A.,
Cattafesta, L. N. and
Morzyński, M.
(2017)
“Cluster-based control of a separating flow.”
Invited paper for (Eds. Vassilis Theofilis and Ati Sharma)
“Special Issue on Global Flow Instability and Control.”
in
Theoretical and Computational Fluid Dynamics, pp. 1—15.
Online
|
PDF
2016
[22]
Bai, Z., Brunton, S. L., Brunton, B. W., Kutz, J. N.,
Kaiser, E., Spohn, A. & Noack, B. R.
(2016)
“Data-driven methods in fluid dynamics: Sparse classification from experimental data.”
In
Whither Turbulence and Big data in the 21st Century, Springer.
Online
|
PDF
[23]
Niven, R.K.,
Kaiser, E., Noack, B. R.,
Cattafesta, L.N., Abel, M.W. & Cordier, L.
“Rapid Bayesian Dynamical Models From Fluid Flow Data.”
Proceedings of the
20th Australasian Fluid Mechanics Conference (AFMC),
The University of Western Australia, Perth, Australia, 5—8 December, 2016.
[24]
Niven, R.K., Noack, B. R.,
Kaiser, E.,
Cattafesta, L.N., Cordier, L. & Abel, M.W.
“Bayesian cyclic networks, mutual information and reduced-order Bayesian inference.”
(2016)
AIP Conference Proceedings 1757(
1):020008.
Invited paper for
35th International Workshop on
Bayesian Inference and Maximum Entropy Methods in Science and Engineering,
Clarkson University, NY, USA.
Online
|
PDF
2015 and earlier
[25]
Östh, J.,
Kaiser, E.,
Krajnović, S. and
Noack, B. R.
(2015)
“Cluster-based reduced-order modelling of the flow in the wake of a high speed train.”
Invited paper for the
“Special Section on Aerodynamics of Road Vehicles and Trains. Edited by Sinisa Krajnovic, Iraj Mortazavi, Charles-Henri Bruneau.”
Journal of Wind Engineering and Industrial Aerodynamics,
145, pp.327—338.
Online
|
PDF
[26]
Cao, Y.,
Kaiser, E., Borée, J., Noack, B. R., Thomas, L. & Guilan, S.
(2014)
“Cluster-based analysis of cycle-to-cycle variations: application to internal combustion engines.”
Experiments in Fluids,
55:1837.
Online
|
PDF
[27]
Kaiser, E., Noack, B.R., Cordier, L., Spohn, A., Segond, M., Abel., M., Daviller, G.,
Östh, J., Krajnović, S. & Niven, R.K.
(2014)
“Cluster-based reduced-order modelling of a mixing layer”.
Journal of Fluid Mechanics,
754, pp. 365—414.
Online
|
PDF
|
Code
[28]
Kaiser, E., Noack, B. R., Cordier, L., Spohn, A.,
Segond, M., Abel, M., Daviller, G., Morzyński, M.,
Östh, J., Krajnović, S. & Niven, R. K.
“Cluster-based reduced-order modelling of shear flows.”
(2014)
AIP Conf. Proc. 1636(151), 151—158.
Chapter in the book
Niven, R. K, Brewer, B., Paull, D. , Shafi, K. & Stokes, B. (ED.),
Bayesian Inference and Maximum Entropy Methods in Science and Engineering.
AIP Publishing, Melville, New York.
Online
|
PDF
[29]
Berger, Z. P., Berry, M. G., Shea, P., Glauser, M., Jiang, N., Goginemi, S.,
Kaiser, E., Noack, B.R. & Spohn, A.
“Analysis of High Speed Jet Flow Physics with Time-Resolved PIV.”
(2014)
Technical Paper presented at the
52nd Aerospace Sciences Meeting, AIAA SciTech Forum, 13—17 Jan 2014, National Harbor, MD, USA.
Online
[30]
Kaiser, E., Spohn, A., Cordier, L. & Noack, B.R.
“Local forcing of laminar separation bubbles.”
(2013)
Paper in the Proceedings of the
8th International Symposium On Turbulent and Shear Flow Phenomena (TSFP-8)
(editors: Bonnet, J.-P., Sung, H.J., Vervisch, L. & Hanjalic, K.),
28-30 Aug. 2013, Poitiers, France.
Online
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PDF