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.


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.
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
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
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
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
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


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.
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.
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.
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
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.
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


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.
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
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
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
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.
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.
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.
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


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
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.
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

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
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
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
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
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.
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 | PDF

© 2019 Eurika Kaiser