SINDy with Control: A Tutorial. - Urban Fasel; Eurika Kaiser; J. Nathan Kutz; Bingni W. Brunton; Steven L. Brunton (CDC, 2021)

The Balanced Mode Decomposition Algorithm for Data-Driven LPV Low-Order Models of Aeroservoelastic Systems. - Andrea Iannelli; Urban Fasel; Roy S. Smith (CoRR, 2021)

PySINDy: A comprehensive Python package for robust sparse system identification. - Alan A. Kaptanoglu; Brian M. de Silva; Urban Fasel; Kadierdan Kaheman; Jared L. Callaham; Charles B. Delahunt; Kathleen P. Champion; Jean-Christophe Loiseau; J. Nathan Kutz; Steven L. Brunton (CoRR, 2021)

Ensemble-SINDy: Robust sparse model discovery in the low-data, high-noise limit, with active learning and control. - Urban Fasel; J. Nathan Kutz; Bingni W. Brunton; Steven L. Brunton (CoRR, 2021)

The Experimental Multi-Arm Pendulum on a Cart: A Benchmark System for Chaos, Learning, and Control. - Kadierdan Kaheman; Urban Fasel; Jason J. Bramburger; Benjamin Strom; J. Nathan Kutz; Steven L. Brunton (CoRR, 2022)

PySINDy: A comprehensive Python package for robust sparse system identification. - Alan A. Kaptanoglu; Brian de Silva; Urban Fasel; Kadierdan Kaheman; Andy Goldschmidt; Jared Callaham; Charles B. Delahunt; Zachary Nicolaou; Kathleen P. Champion; Jean-Christophe Loiseau; J. Nathan Kutz; Steven L. Brunton (J. Open Source Softw., 2022)

FlexWing-ROM: A matlab framework for data-driven reduced-order modeling of flexible wings. - Urban Fasel; Nicola Fonzi; Andrea Iannelli; Steven L. Brunton (J. Open Source Softw., 2022)

Robust, High-Rate Trajectory Tracking on Insect-Scale Soft-Actuated Aerial Robots with Deep-Learned Tube MPC. - Andrea Tagliabue; Yi-Hsuan Hsiao; Urban Fasel; J. Nathan Kutz; Steven L. Brunton; YuFeng Chen 003; Jonathan P. How (ICRA, 2023)

Convergence of uncertainty estimates in Ensemble and Bayesian sparse model discovery. - L. Mars Gao; Urban Fasel; Steven L. Brunton; J. Nathan Kutz (CoRR, 2023)

Benchmarking sparse system identification with low-dimensional chaos. - Alan A. Kaptanoglu; Lanyue Zhang; Zachary G. Nicolaou; Urban Fasel; Steven L. Brunton (CoRR, 2023)

Parametric PDE Control with Deep Reinforcement Learning and L0 Sparse Polynomial Policies. - Nicolò Botteghi; Urban Fasel (CDC, 2024)

SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning. - Nicholas Zolman; Urban Fasel; J. Nathan Kutz; Steven L. Brunton (CoRR, 2024)

Parametric PDE Control with Deep Reinforcement Learning and Differentiable L0-Sparse Polynomial Policies. - Nicolò Botteghi; Urban Fasel (CoRR, 2024)

Sparsifying Parametric Models with L0 Regularization. - Nicolò Botteghi; Urban Fasel (CoRR, 2024)

Interpretable and Efficient Data-driven Discovery and Control of Distributed Systems. - Florian Wolf 006; Nicolò Botteghi; Urban Fasel; Andrea Manzoni (CoRR, 2024)

Future Pathways for EVTOLs: A Design Optimization Perspective. - Johannes Janning; Sophie Armanini; Urban Fasel (CoRR, 2024)

Machine Learning for Sparse Nonlinear Modeling and Control. - Steven L. Brunton; Nicholas Zolman; J. Nathan Kutz; Urban Fasel (Annu. Rev. Control. Robotics Auton. Syst., 2025)

SINDy on slow manifolds. - Diemen Delgado-Cano; Erick Kracht; Urban Fasel; Benjamin Herrmann (CoRR, 2025)

Sparse Identification of Nonlinear Dynamics with Conformal Prediction. - Urban Fasel (CoRR, 2025)