Reinforcement learning-based model reduction for partial differential equations: application to the Burgers equation
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Publication:2094039
DOI10.1007/978-3-030-60990-0_11OpenAlexW3175492322MaRDI QIDQ2094039
Mouhacine Benosman, Jeff Borggaard, Ankush Chakrabarty
Publication date: 28 October 2022
Full work available at URL: https://doi.org/10.1007/978-3-030-60990-0_11
Cites Work
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- Stabilization of projection-based reduced order models for linear time-invariant systems via optimization-based eigenvalue reassignment
- Calibrated reduced-order POD-Galerkin system for fluid flow modelling
- Proper orthogonal decomposition closure models for turbulent flows: a numerical comparison
- Goal-oriented, model-constrained optimization for reduction of large-scale systems
- Dynamical properties of hybrid systems simulators
- Learning-based robust stabilization for reduced-order models of 2D and 3D Boussinesq equations
- Model Reduction of the Nonlinear Complex Ginzburg–Landau Equation
- An intrinsic stabilization scheme for proper orthogonal decomposition based low-dimensional models
- Turbulence, Coherent Structures, Dynamical Systems and Symmetry
- T<scp>HE</scp> F<scp>LOW OF</scp> H<scp>UMAN</scp> C<scp>ROWDS</scp>
- Certified real‐time solution of the parametrized steady incompressible Navier–Stokes equations: rigorous reduced‐basis a posteriori error bounds
- Galerkin Proper Orthogonal Decomposition Methods for a General Equation in Fluid Dynamics
- Low-dimensional modelling of high-Reynolds-number shear flows incorporating constraints from the Navier–Stokes equation
- Sparse Sensing and DMD-Based Identification of Flow Regimes and Bifurcations in Complex Flows
- Multi‐parametric extremum seeking‐based iterative feedback gains tuning for nonlinear control
- Reinforcement Learning and Feedback Control: Using Natural Decision Methods to Design Optimal Adaptive Controllers
- Pedestrian flows and non-classical shocks
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