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Kadierdan Kaheman
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SINDy-PI: a robust algorithm for parallel implicit sparse identification of nonlinear dynamics
K Kaheman, JN Kutz, SL Brunton
Proceedings of the Royal Society A 476 (2242), 20200279, 2020
2322020
Pysindy: A comprehensive python package for robust sparse system identification
AA Kaptanoglu, BM de Silva, U Fasel, K Kaheman, AJ Goldschmidt, ...
arXiv preprint arXiv:2111.08481, 2021
1202021
Automatic differentiation to simultaneously identify nonlinear dynamics and extract noise probability distributions from data
K Kaheman, SL Brunton, JN Kutz
Machine Learning: Science and Technology 3 (1), 015031, 2022
762022
Learning discrepancy models from experimental data
K Kaheman, E Kaiser, B Strom, JN Kutz, SL Brunton
arXiv preprint arXiv:1909.08574, 2019
462019
Saddle transport and chaos in the double pendulum
K Kaheman, JJ Bramburger, JN Kutz, SL Brunton
Nonlinear Dynamics 111 (8), 7199-7233, 2023
52023
The experimental multi-arm pendulum on a cart: A benchmark system for chaos, learning, and control
K Kaheman, U Fasel, JJ Bramburger, B Strom, JN Kutz, SL Brunton
HardwareX 15, e00465, 2023
32023
Robust Sparse Identification and Saddle Mediated Transport of Nonlinear Dynamics
K Kaheman
University of Washington, 2022
2022
SINDy-PI
K Kaheman, JN Kutz, SL Brunton
Proceedings: Mathematical, Physical and Engineering Sciences 476 (2242), 1-25, 2020
2020
Identifying coarse-grained PDE models from data with the sparse identification of nonlinear dynamics
K Kaheman, E Kaiser, A Nair, N Kutz, S Brunton
APS Division of Fluid Dynamics Meeting Abstracts, P10. 007, 2019
2019
Supplementary Material of" The Experimental Multi-Arm Pendulum on a Cart: A Benchmark System for Chaos, Learning, and Control
K Kaheman, U Fasel, JJ Bramburger, B Strom, JN Kutz, SL Brunton
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Articles 1–10