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ORCIDClarence W. Rowley
- > Home > Persons > Clarence W. Rowley
Publications
- 2024
[j21]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): 885-923 (2024)- 2023
- [j20]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): 2325- (2023) - [i8]Samuel E. Otto, Gregory R. Macchio, Clarence W. Rowley:
Learning Nonlinear Projections for Reduced-Order Modeling of Dynamical Systems using Constrained Autoencoders. CoRR abs/2307.15288 (2023) - 2022
- [j19]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): 69 (2022) - [j18]Samuel E. Otto, Alberto Padovan, Clarence W. Rowley:
Optimizing Oblique Projections for Nonlinear Systems using Trajectories. SIAM J. Sci. Comput. 44(1): 1681- (2022) - [i6]Samuel E. Otto, Alberto Padovan, Clarence W. Rowley:
Model Reduction for Nonlinear Systems by Balanced Truncation of State and Gradient Covariance. CoRR abs/2207.14387 (2022) - [i5]Samuel E. Otto, Sebastian Peitz, Clarence W. Rowley:
Learning Bilinear Models of Actuated Koopman Generators from Partially-Observed Trajectories. CoRR abs/2209.09977 (2022) - 2021
- [j17]Samuel E. Otto, Clarence W. Rowley:
Koopman Operators for Estimation and Control of Dynamical Systems. Annu. Rev. Control. Robotics Auton. Syst. 4: 59-87 (2021) - [i4]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 abs/2101.11162 (2021) - 2020
- [j15]Sebastian Peitz, Samuel E. Otto, Clarence W. Rowley:
Data-Driven Model Predictive Control using Interpolated Koopman Generators. SIAM J. Appl. Dyn. Syst. 19(3): 2162-2193 (2020) - 2019
- [j14]Samuel E. Otto, Clarence W. Rowley:
Linearly Recurrent Autoencoder Networks for Learning Dynamics. SIAM J. Appl. Dyn. Syst. 18(1): 558-593 (2019) - [i3]Samuel E. Otto, Clarence W. Rowley:
A Discrete Empirical Interpolation Method for Interpretable Immersion and Embedding of Nonlinear Manifolds. CoRR abs/1905.07619 (2019) - 2017
- [i1]Samuel E. Otto, Clarence W. Rowley:
Linearly-Recurrent Autoencoder Networks for Learning Dynamics. CoRR abs/1712.01378 (2017)
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