Eurika Kaiser

According to our database, Eurika Kaiser authored at least 14 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Control of Vortex Dynamics using Invariants.

Kartik Krishna, Aditya G. Nair, Anand Krishnan, Steven L. Brunton, Eurika Kaiser

CoRR, 2023

PyKoopman: A Python Package for Data-Driven Approximation of the Koopman Operator.

Shaowu Pan, Eurika Kaiser, Brian M. de Silva, J. Nathan Kutz, Steven L. Brunton

CoRR, 2023

2022

Modern Koopman Theory for Dynamical Systems.

Steven L. Brunton, Marko Budisic, Eurika Kaiser, J. Nathan Kutz

SIAM Rev., 2022

2021

Data-driven discovery of Koopman eigenfunctions for control.

Eurika Kaiser, J. Nathan Kutz, Steven L. Brunton

Mach. Learn. Sci. Technol., September, 2021

SINDy with Control: A Tutorial.

Urban Fasel, Eurika Kaiser, J. Nathan Kutz, Bingni W. Brunton, Steven L. Brunton

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Time-Delay Observables for Koopman: Theory and Applications.

Mason Kamb, Eurika Kaiser, Steven L. Brunton, J. Nathan Kutz

SIAM J. Appl. Dyn. Syst., 2020

Deep reinforcement learning for optical systems: A case study of mode-locked lasers.

Chang Sun, Eurika Kaiser, Steven L. Brunton, J. Nathan Kutz

Mach. Learn. Sci. Technol., 2020

Principal Component Trajectories (PCT): Nonlinear dynamics as a superposition of time-delayed periodic orbits.

Daniel Dylewsky, Eurika Kaiser, Steven L. Brunton, J. Nathan Kutz

CoRR, 2020

2019

Optimized Sampling for Multiscale Dynamics.

Krithika Manohar, Eurika Kaiser, Steven L. Brunton, J. Nathan Kutz

Multiscale Model. Simul., 2019

Learning Discrepancy Models From Experimental Data.

Kadierdan Kaheman, Eurika Kaiser, Benjamin Strom, J. Nathan Kutz, Steven L. Brunton

CoRR, 2019

2018

Sparsity enabled cluster reduced-order models for control.

Eurika Kaiser, Marek Morzynski, Guillaume Daviller, J. Nathan Kutz, Bingni W. Brunton, Steven L. Brunton

J. Comput. Phys., 2018

Discovering Conservation Laws from Data for Control.

Eurika Kaiser, J. Nathan Kutz, Steven L. Brunton

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017

Dynamic mode decomposition for compressive system identification.

Zhe Bai, Eurika Kaiser, Joshua L. Proctor, J. Nathan Kutz, Steven L. Brunton

CoRR, 2017

Visualizing vortex clusters in the wake of a high-speed train.

Simon Ferrari, Yaoping Hu, Robert J. Martinuzzi, Eurika Kaiser, Bernd R. Noack, Jan Östh, Sinisa Krajnovic

Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017