Urban Fasel

Vaughn College of Aeronautics and Technology — United States

Physics and Astronomy · Physical Sciences

14h-index1.1kcitations70works1.72yr avg
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Research Topics

Model Reduction and Neural Networks(20), Aeroelasticity and Vibration Control(19), Biomimetic flight and propulsion mechanisms(11), Structural Analysis and Optimization(9), Aerospace Engineering and Energy Systems(9)

Publications70 total

Sindy on attracting manifolds
Nonlinear Dynamics·2025
SINDy-RL for interpretable and efficient model-based reinforcement learning
Nature Communications·2025Open Access
Multibody Simulation of Flexible Aircraft with Variable-Sweep Wingtips
AIAA Journal·2025Open Access
Data-driven discovery and model reduction methods for the atmospheric effects of high altitude emissions
2025Open Access
HypeMARL: Multi-Agent Reinforcement Learning For High-Dimensional, Parametric, and Distributed Systems
arXiv (Cornell University)·2025Open Access
Sparse Identification of Nonlinear Dynamics with Conformal Prediction
arXiv (Cornell University)·2025Open Access
SINDy on slow manifolds
arXiv (Cornell University)·2025Open Access
Rapid Bayesian identification of sparse nonlinear dynamics from scarce and noisy data
Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences·2025· 8 citedOpen Access
Machine Learning for Sparse Nonlinear Modeling and Control
Annual Review of Control Robotics and Autonomous Systems·2025· 10 citedOpen Access
Multibody Simulation of Flexible Aircraft With Variable Sweep Wingtips
2025· 2 cited
Interpretable and efficient data-driven discovery and control of distributed systems
Data-Centric Engineering·2025· 1 citedOpen Access
Data-Driven Stabilization of Unstable Periodic Orbits of the Three-Body Problem
IEEE Access·2025Open Access
Parametric PDE Control with Deep Reinforcement Learning and L<sub>0</sub> Sparse Polynomial Policies
2024· 2 cited
Interpretable low-order representation of eigenmode deformation in parameterized dynamical systems
arXiv (Cornell University)·2024Open Access
Interpretable and Efficient Data-driven Discovery and Control of Distributed Systems
arXiv (Cornell University)·2024Open Access
Sparsifying Parametric Models with L0 Regularization
arXiv (Cornell University)·2024Open Access
Parametric PDE Control with Deep Reinforcement Learning and Differentiable L0-Sparse Polynomial Policies
arXiv (Cornell University)·2024· 3 citedOpen Access
SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning
arXiv (Cornell University)·2024· 2 citedOpen Access
Rapid Bayesian identification of sparse nonlinear dynamics from scarce and noisy data
arXiv (Cornell University)·2024· 5 citedOpen Access
Data-Driven Modeling for Transonic Aeroelastic Analysis
2024· 1 cited
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Frequent Co-authors

Steven L. Brunton(17), Paolo Ermanni(16), Dominic Keidel(13), Giulio Molinari(8), J. Nathan Kutz(5), Bingni W. Brunton(4), Nicola Fonzi(4), Nicolò Botteghi(4), Leo Baumann(3), Alan A. Kaptanoglu(3), Kadierdan Kaheman(3), Zachary G. Nicolaou(3), Andres F. Arrieta(3), Andrea Iannelli(3), Eurika Kaiser(2), Lanyue Zhang(2), Paolo Tiso(2), Falk Runkel(2), Nicholas Zolman(2), Arthur Schlothauer(2)