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J. Nathan Kutz

Department of Applied Mathematics, University of Washington

Convergence of uncertainty estimates in Ensemble and Bayesian sparse model discovery

Jan 30, 2023
L. Mars Gao, Urban Fasel, Steven L. Brunton, J. Nathan Kutz

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* 32 pages, 7 figures

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Bayesian autoencoders for data-driven discovery of coordinates, governing equations and fundamental constants

Nov 19, 2022
L. Mars Gao, J. Nathan Kutz

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* 28 pages, 11 figures

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Robust, High-Rate Trajectory Tracking on Insect-Scale Soft-Actuated Aerial Robots with Deep-Learned Tube MPC

Sep 26, 2022
Andrea Tagliabue, Yi-Hsuan Hsiao, Urban Fasel, J. Nathan Kutz, Steven L. Brunton, YuFeng Chen, Jonathan P. How

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* Submitted to ICRA 2023. Andrea Tagliabue and Yi-Hsuan Hsiao equally contributed. Video: https://youtu.be/Seupy1bSkY4

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The Experimental Multi-Arm Pendulum on a Cart: A Benchmark System for Chaos, Learning, and Control

May 12, 2022
Kadierdan Kaheman, Urban Fasel, Jason J. Bramburger, Benjamin Strom, J. Nathan Kutz, Steven L. Brunton

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* 72 pages, 39 figures, 9 tables

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