Curriculum Vitae

Publications

Curriculum Vitae
Publications


2017


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Ishar, R., Kaiser, E., Morzynski, M. and Noack, B. R. (2017) “Metric for attractor overlap.” arXiv Preprint arXiv:1712.00717, under review in Journal of Fluid Mechanics.
Journal Article under ReviewarXiv
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Kaiser, E., Kutz, J. N. and Brunton, S. L. (2017) “Sparse identification of nonlinear dynamics for model predictive control in the low-data limit.” arXiv Preprint arXiv:1711.05501.
Journal Article under ReviewarXiv
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Bai, Z., Kaiser, E., Proctor, J. L., Kutz, J. N. and Brunton, S. L. (2017) “Dynamic mode decomposition for compressive system identification.” Submitted as an invited paper for a special issue in AIAA Journal. arXiv Preprint arXiv:1710.07737.
Journal Article under ReviewarXiv | Code
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Loosen, S., Kaiser, E., Noack, B. R. & 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.
Conference Paper
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Kaiser, E., Morzyński, M., Daviller, G., Kutz, J. N., Brunton, B. W. and Brunton, S. L. (2018) “Sparsity enabled cluster reduced-order models for control.” Journal of Computational Physics, 352:388–409.
Journal ArticleOnline / PDF | Code
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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.
Journal ArticleOnline / PDF
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Kaiser, E., Kutz, J. N. and Brunton, S. L (2017) “Discovery of Koopman eigenfunctions for control,” arXiv:1707.01146, under review in Automatica.
Journal Article under ReviewarXiv | Code
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Li, R., Noack, B. R., Cordier, L., Borée, J., Kaiser, E. and Harambat, F. (2017) “Linear genetic programming control for strongly nonlinear dynamics with frequency crosstalk” under review in Journal of Machine Learning Research.
Journal Article under Review
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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.” 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC2017), Banff, Canada, 5–8 October, 2017.
Conference Paper
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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.
Conference Extended AbstractPDF
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Kaiser, E., Noack, B. R., Spohn, A., Cattafesta, L. N. and Morzyński, M. (2017) “Cluster-based control of a separating flow.” For “Special Issue on Global Flow Instability and Control.” Edited by Vassilis Theofilis and Ati Sharma in Theoretical and Computational Fluid Dynamics, 31(5-6):579-593.
Journal ArticleOnline | PDF

2016


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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.
Book ChapterOnline | PDF
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Niven, R. K., Hérouard, N., Noack, B. R., Kaiser, E., Cordier, L., Abel, M. W. and Schlegel, M. (2016) “Reynolds Averaging and Spatial Analogues of the Liouville Equation” submitted.
Journal Article under Review
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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.
Conference Paper
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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 submitted manuscript to 35th International Workshop on Bayesian Inference and Maximum Entropy Meth- ods in Science and Engineering, Clarkson University, NY, USA, 19–24 July, 2015.
Conference PaperOnline | PDF

2015 and earlier


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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” in Journal of Wind Engineering and Industrial Aerodynamics, 145:327–338.
Journal ArticleOnline | PDF
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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.
Journal ArticleOnline | PDF
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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.
Journal ArticleOnline | PDF | Code
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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.
Conference PaperOnline
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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.
Conference PaperOnline
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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.
Conference PaperOnline | PDF