Boris Kramer
Title
Cited by
Cited by
Year
Sparse sensing and DMD based identification of flow regimes and bifurcations in complex flows
B Kramer, P Grover, P Boufounos, M Benosman, S Nabi
SIAM Journal on Applied Dynamical Systems 16 (2), 1164-1196, 2017
382017
Nonlinear Model Order Reduction via Lifting Transformations and Proper Orthogonal Decomposition
B Kramer, KE Willcox
AIAA Journal 57 (6), 2297-2307, 2019
332019
Learning-based robust stabilization for reduced-order models of 2D and 3D Boussinesq equations
M Benosman, J Borggaard, O San, B Kramer
Applied Mathematical Modelling 49 (September 2017), 162–181, 2017
332017
Multifidelity preconditioning of the cross-entropy method for rare event simulation and failure probability estimation
B Peherstorfer, B Kramer, K Willcox
SIAM/ASA Journal on Uncertainty Quantification 6 (2), 737-761, 2018
212018
Combining multiple surrogate models to accelerate failure probability estimation with expensive high-fidelity models
B Peherstorfer, B Kramer, K Willcox
Journal of Computational Physics 341, 61-75, 2017
212017
Tangential interpolation-based eigensystem realization algorithm for MIMO systems
B Kramer, S Gugercin
Mathematical and Computer Modelling of Dynamical Systems 22 (4), 282-306, 2016
152016
Lift & Learn: Physics-informed machine learning for large-scale nonlinear dynamical systems
E Qian, B Kramer, B Peherstorfer, K Willcox
Physica D: Nonlinear Phenomena 406, 132401, 2020
142020
Feedback control for systems with uncertain parameters using online-adaptive reduced models
B Kramer, B Peherstorfer, K Willcox
SIAM Journal on Applied Dynamical Systems 16 (3), 1563-1586, 2017
142017
Full flux models for optimization and control of heat exchangers
JA Burns, B Kramer
2015 American Control Conference (ACC), 577-582, 2015
132015
Model reduction of the coupled Burgers equation in conservation form
B Krämer
Virginia Tech, 2011
122011
System Identification via CUR-factored Hankel Approximation
B Kramer, AA Gorodetsky
SIAM Journal of Scientific Computing 40 (2), 848–866, 2018
112018
Transform & Learn: A data-driven approach to nonlinear model reduction
E Qian, B Kramer, AN Marques, KE Willcox
AIAA Aviation 2019 Forum, 3707, 2019
102019
Learning-based reduced order model stabilization for partial differential equations: Application to the coupled Burgers' equation
M Benosman, B Kramer, PT Boufounos, P Grover
American Control Conference (ACC), 2016, 1673-1678, 2016
102016
Conditional-value-at-risk estimation via reduced-order models
M Heinkenschloss, B Kramer, T Takhtaganov, K Willcox
SIAM/ASA Journal on Uncertainty Quantification 6 (4), 1395-1423, 2018
92018
Learning physics-based reduced-order models for a single-injector combustion process
R Swischuk, B Kramer, C Huang, K Willcox
AIAA Journal 58 (6), 2658-2672, 2020
82020
Learning physics-based data-driven reduced-order models for a single-injector combustion process
R Swischuk, B Kramer, C Huang, KE Willcox
AIAA Scitech 2020 Forum, 1411, 2020
8*2020
Robust POD model stabilization for the 3D Boussinesq equations based on Lyapunov theory and extremum seeking
M Benosman, J Borggaard, B Kramer
2017 American Control Conference (ACC), 1827-1832, 2017
8*2017
A POD projection method for large-scale algebraic Riccati equations
B Kramer, JR Singler
Numerical Algebra, Control and Optimization (NACO) 6 (4), 413-435, 2016
8*2016
Multifidelity probability estimation via fusion of estimators
B Kramer, AN Marques, B Peherstorfer, U Villa, K Willcox
Journal of Computational Physics 392, 385-402, 2019
62019
Model reduction for control of a multiphysics system: Coupled Burgers' equation
B Kramer
2016 American Control Conference (ACC), 6146-6151, 2016
52016
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