Samuel E. Otto

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 15

Top Topics

Nonlinear Systems

Model Predictive Control

Partially Observed

Interpolation Method

Top Venues

SIAM J. Appl. Dyn. Syst.

SIAM J. Sci. Comput.

J. Nonlinear Sci.

Publications

Samuel E. Otto, Sebastian Peitz, Clarence W. Rowley
Learning Bilinear Models of Actuated Koopman Generators from Partially Observed Trajectories. SIAM J. Appl. Dyn. Syst. 23 (1) (2024)
Nicolas Boullé, Diana Halikias, Samuel E. Otto, Alex Townsend
Operator learning without the adjoint. CoRR (2024)
Samuel E. Otto, Alberto Padovan, Clarence W. Rowley
Model Reduction for Nonlinear Systems by Balanced Truncation of State and Gradient Covariance. SIAM J. Sci. Comput. 45 (5) (2023)
Samuel E. Otto, Gregory R. Macchio, Clarence W. Rowley
Learning Nonlinear Projections for Reduced-Order Modeling of Dynamical Systems using Constrained Autoencoders. CoRR (2023)
Samuel E. Otto, Nicholas Zolman, J. Nathan Kutz, Steven L. Brunton
A Unified Framework to Enforce, Discover, and Promote Symmetry in Machine Learning. CoRR (2023)
Samuel E. Otto, Alberto Padovan, Clarence W. Rowley
Optimizing Oblique Projections for Nonlinear Systems using Trajectories. SIAM J. Sci. Comput. 44 (1) (2022)
Samuel E. Otto, Sebastian Peitz, Clarence W. Rowley
Learning Bilinear Models of Actuated Koopman Generators from Partially-Observed Trajectories. CoRR (2022)
Samuel E. Otto, Alberto Padovan, Clarence W. Rowley
Model Reduction for Nonlinear Systems by Balanced Truncation of State and Gradient Covariance. CoRR (2022)
Samuel E. Otto, Clarence W. Rowley
Inadequacy of Linear Methods for Minimal Sensor Placement and Feature Selection in Nonlinear Systems: A New Approach Using Secants. J. Nonlinear Sci. 32 (5) (2022)
Samuel E. Otto, Clarence W. Rowley
Koopman Operators for Estimation and Control of Dynamical Systems. Annu. Rev. Control. Robotics Auton. Syst. 4 (2021)
Samuel E. Otto, Clarence W. Rowley
Inadequacy of Linear Methods for Minimal Sensor Placement and Feature Selection in Nonlinear Systems; a New Approach Using Secants. CoRR (2021)
Sebastian Peitz, Samuel E. Otto, Clarence W. Rowley
Data-Driven Model Predictive Control using Interpolated Koopman Generators. SIAM J. Appl. Dyn. Syst. 19 (3) (2020)
Samuel E. Otto, Clarence W. Rowley
A Discrete Empirical Interpolation Method for Interpretable Immersion and Embedding of Nonlinear Manifolds. CoRR (2019)
Samuel E. Otto, Clarence W. Rowley
Linearly Recurrent Autoencoder Networks for Learning Dynamics. SIAM J. Appl. Dyn. Syst. 18 (1) (2019)
Samuel E. Otto, Clarence W. Rowley
Linearly-Recurrent Autoencoder Networks for Learning Dynamics. CoRR (2017)