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OPTIMIZING OBLIQUE PROJECTIONS FOR NONLINEAR SYSTEMS USING TRAJECTORIES
Samuel E. Otto
, Alberto Padovan
,
Clarence W. Rowley
Mechanical & Aerospace Engineering
Princeton Institute for Computational Science and Engineering
Research output
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Contribution to journal
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Article
›
peer-review
21
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Scopus citations
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Dive into the research topics of 'OPTIMIZING OBLIQUE PROJECTIONS FOR NONLINEAR SYSTEMS USING TRAJECTORIES'. Together they form a unique fingerprint.
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Keyphrases
Nonlinear Systems
100%
Balanced Truncation
100%
Oblique Projection
100%
Low Energy
66%
Prediction Accuracy
66%
Bilinear
66%
Energy Feature
66%
Model Reduction
33%
Accuracy Improvement
33%
Reduced Order Model
33%
Grassmann Manifold
33%
Modeling Techniques
33%
Proper Orthogonal Decomposition
33%
Toy Model
33%
Fluid Dynamics
33%
Low-dimensional Representation
33%
Jet Flow
33%
Linear Dynamical Systems
33%
Reduced Order Modeling
33%
Original System
33%
H2-optimal
33%
Axisymmetric Jet
33%
Shear Layer Instability
33%
Iterative Rational Krylov Algorithm
33%
Governing Equations
33%
Computer Science
Nonlinear System
100%
Predictive Accuracy
100%
Oblique Projection
100%
Proper Orthogonal Decomposition
50%
Dynamical System
50%
Operating System
50%
Engineering
Balanced Truncation
100%
Nonlinear System
100%
Axisymmetric
33%
Model Reduction
33%
Reduced Order Model
33%
Shear Layer
33%
Proper Orthogonal Decomposition
33%
Fluid Dynamics
33%
Jet
33%
Mathematics
Truncation
100%
Nonlinear System
100%
Predictive Accuracy
66%
Manifold
33%
Grassmann
33%
Linear Dynamical Systems
33%
Optimal Model
33%