Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control von Brunton, Steven L., Kutz, J. Nathan

Volltext

Machine Learning for Fluid Mechanics von Brunton, Steven L, Noack, Bernd R, Koumoutsakos, Petros

Volltext

Koopman Invariant Subspaces and Finite Linear Representations of Nonlinear Dynamical Systems for Control von Brunton, Steven L, Brunton, Bingni W, Proctor, Joshua L, Kutz, J Nathan

Volltext

Deep learning for universal linear embeddings of nonlinear dynamics von Lusch, Bethany, Kutz, J. Nathan, Brunton, Steven L.

Volltext

Applying machine learning to study fluid mechanics von Brunton, Steven L.

Volltext

Constrained sparse Galerkin regression von Loiseau, Jean-Christophe, Brunton, Steven L.

Volltext

Enhancing computational fluid dynamics with machine learning von Vinuesa, Ricardo, Brunton, Steven L

Volltext

Discovering governing equations from data by sparse identification of nonlinear dynamical systems von Brunton, Steven L., Proctor, Joshua L., Kutz, J. Nathan

Volltext

Closed-Loop Turbulence Control: Progress and Challenges von Brunton, Steven L, Noack, Bernd R

Volltext

Chaos as an intermittently forced linear system von Brunton, Steven L., Brunton, Bingni W., Proctor, Joshua L., Kaiser, Eurika, Kutz, J. Nathan

Volltext

Data-driven discovery of coordinates and governing equations von Champion, Kathleen, Lusch, Bethany, Kutz, J. Nathan, Brunton, Steven L.

Volltext

Shallow neural networks for fluid flow reconstruction with limited sensors von Erichson, N. Benjamin, Mathelin, Lionel, Yao, Zhewei, Brunton, Steven L., Mahoney, Michael W., Kutz, J. Nathan

Volltext

SINDy-PI: a robust algorithm for parallel implicit sparse identification of nonlinear dynamics von Kaheman, Kadierdan, Kutz, J. Nathan, Brunton, Steven L.

Volltext

Modal Analysis of Fluid Flows: Applications and Outlook von Taira, Kunihiko, Hemati, Maziar S, Brunton, Steven L, Sun, Yiyang, Duraisamy, Karthik, Bagheri, Shervin, Dawson, Scott T. M, Yeh, Chi-An

Volltext

Data-driven discovery of Koopman eigenfunctions for control von Kaiser, Eurika, Kutz, J Nathan, Brunton, Steven L

Volltext

Sparse reduced-order modelling: sensor-based dynamics to full-state estimation von Loiseau, Jean-Christophe, Noack, Bernd R., Brunton, Steven L.

Volltext

Challenges in dynamic mode decomposition von Wu, Ziyou, Brunton, Steven L, Revzen, Shai

Volltext

Learning dominant physical processes with data-driven balance models von Callaham, Jared L., Koch, James V., Brunton, Bingni W., Kutz, J. Nathan, Brunton, Steven L.

Volltext

DeepGreen: deep learning of Green’s functions for nonlinear boundary value problems von Gin, Craig R., Shea, Daniel E., Brunton, Steven L., Kutz, J. Nathan

Volltext

Optimal Sensor and Actuator Selection Using Balanced Model Reduction von Manohar, Krithika, Kutz, J. Nathan, Brunton, Steven L.

Volltext