A rank-constrained linear representation with separate input and output subspaces yields reduced-order LQR controllers that stabilize the Ginzburg-Landau system at lower rank and suppress vortex shedding more effectively than DMD or OMD in the tested cases.
Efficient non-linear model reduction via a least-squares petrov–galerkin projection and compressive tensor approx- imations
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
physics.flu-dyn 1years
2019 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Reduced-order control using low-rank Dynamic Mode Decomposition
A rank-constrained linear representation with separate input and output subspaces yields reduced-order LQR controllers that stabilize the Ginzburg-Landau system at lower rank and suppress vortex shedding more effectively than DMD or OMD in the tested cases.