The following pages link to S. L. Brunton (Q317177):
Displaying 31 items.
- Data-driven discovery of coordinates and governing equations (Q5218490) (← links)
- Constrained sparse Galerkin regression (Q5226317) (← links)
- Cluster-based feedback control of turbulent post-stall separated flows (Q5231442) (← links)
- Sparse identification of nonlinear dynamics for model predictive control in the low-data limit (Q5243602) (← links)
- Fast computation of finite-time Lyapunov exponent fields for unsteady flows (Q5250422) (← links)
- Discovery of Nonlinear Multiscale Systems: Sampling Strategies and Embeddings (Q5382442) (← links)
- Data-Driven Identification of Parametric Partial Differential Equations (Q5383204) (← links)
- Reduced-order unsteady aerodynamic models at low Reynolds numbers (Q5417386) (← links)
- On the role of nonlinear correlations in reduced-order modelling (Q5863430) (← links)
- Multiscale model reduction for incompressible flows (Q6052276) (← links)
- Interpolatory input and output projections for flow control (Q6077957) (← links)
- Parsimony as the ultimate regularizer for physics-informed machine learning (Q6117148) (← links)
- Koopman invariant subspaces and finite linear representations of nonlinear dynamical systems for control (Q6266299) (← links)
- Chaos as an Intermittently Forced Linear System (Q6276660) (← links)
- Data-driven discovery of Koopman eigenfunctions for control (Q6288640) (← links)
- Deep learning for universal linear embeddings of nonlinear dynamics (Q6295782) (← links)
- Neural-inspired sensors enable sparse, efficient classification of spatiotemporal data (Q6300621) (← links)
- Greedy Sensor Placement with Cost Constraints (Q6301393) (← links)
- Randomized methods to characterize large-scale vortical flow network (Q6324529) (← links)
- Multiresolution Convolutional Autoencoders (Q6338463) (← links)
- PySINDy: A Python package for the Sparse Identification of Nonlinear Dynamics from Data (Q6338925) (← links)
- DeepGreen: Deep Learning of Green's Functions for Nonlinear Boundary Value Problems (Q6358534) (← links)
- Structured Time-Delay Models for Dynamical Systems with Connections to Frenet-Serret Frame (Q6358690) (← links)
- Data-driven Modeling of Two-Dimensional Detonation Wave Fronts (Q6371664) (← links)
- SINDy with Control: A Tutorial (Q6376385) (← links)
- Deeptime: a Python library for machine learning dynamical models from time series data (Q6381530) (← links)
- Ensemble-SINDy: Robust sparse model discovery in the low-data, high-noise limit, with active learning and control (Q6383592) (← links)
- Distributed Control of Partial Differential Equations Using Convolutional Reinforcement Learning (Q6424398) (← links)
- Randomized CP Tensor Decomposition (Q6512013) (← links)
- Machine learning in viscoelastic fluids via energy-based kernel embedding (Q6615024) (← links)
- Uncovering wall-shear stress dynamics from neural-network enhanced fluid flow measurements (Q6717425) (← links)
