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Reduced-order control using low-rank dynamic mode decomposition
Palash Sashittal
,
Daniel J. Bodony
Grainger College of Engineering
Aerospace Engineering
Mechanical Science and Engineering
Materials Research Lab
National Center for Supercomputing Applications (NCSA)
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Keyphrases
Dynamic Mode Decomposition
100%
Low-rank Dynamics
100%
Reduced-order Control
100%
Optimal Mode Decomposition
40%
Model Order Reduction
20%
Computational Cost
10%
Nonconvex
10%
Reconstruction Error
10%
Dynamical Systems
10%
Low Quality Data
10%
Feedback Control
10%
Optimization Problem
10%
Reduced Order Model
10%
Matrix Optimization
10%
Fluid Flow Control
10%
Improved Estimation
10%
Flat Plate
10%
Non-intrusive
10%
Unsteady Flow
10%
Unstable Regime
10%
Full State
10%
Linear Representation
10%
Data Reconstruction
10%
Adjoint System
10%
Full-state Feedback Controller
10%
Vortex Shedding
10%
High Angle of Attack
10%
Rank-constrained
10%
Low-level Controller
10%
Ginzburg-Landau Equation
10%
Decomposition Rank
10%
Data Driven Reduced Order Model
10%
Inclined Flat Plate
10%
Engineering
Mode Dynamic
100%
Reduced Order Model
20%
Flat Plate
20%
Computational Cost
10%
Fluid Flow
10%
Optimisation Problem
10%
Unsteady Flow
10%
State Feedback Controller
10%
Angle-of-Attack
10%
Model Reduction
10%
Vortex Shedding
10%
Feedback Control
10%
Mathematics
Dynamic Mode Decomposition
100%
Flat Plate
20%
Matrix (Mathematics)
10%
Computational Cost
10%
Dynamical System
10%
Reduction Method
10%
Adjoint System
10%
Feedback Control
10%
Chemical Engineering
Fluid Flow
100%