Optimal control of the cylinder wake in the laminar regime by trust-region methods and POD reduced-order models

From MaRDI portal
Publication:935322

DOI10.1016/j.jcp.2008.04.034zbMath1388.76073OpenAlexW2043163633MaRDI QIDQ935322

Michel Bergmann, Laurent Cordier

Publication date: 6 August 2008

Published in: Journal of Computational Physics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jcp.2008.04.034




Related Items

A cure for instabilities due to advection-dominance in POD solution to advection-diffusion-reaction equationsGeometry-dependent reduced-order models for the computation of homogenized transfer properties in porous mediaRobust output-feedback stabilization for incompressible flows using low-dimensional \(\mathcal{H}_{\infty}\)-controllersNon intrusive method for parametric model order reduction using a bi-calibrated interpolation on the Grassmann manifoldFourier Collocation and Reduced Basis Methods for Fast Modeling of Compressible FlowsGreedy non-intrusive reduced-order model's application in dynamic blowing and suction flow control to suppress the flow separationOn the coherent structures and stability properties of a leading-edge separated aerofoil with turbulent recirculationA Simplified Newton Method to Generate Snapshots for POD Models of Semilinear Optimal Control ProblemsA dual-weighted trust-region adaptive POD 4-D Var applied to a finite-volume shallow water equations model on the sphereCost reduction techniques for the design of non-linear flapping wing structuresCluster-based reduced-order modelling of a mixing layerParametric domain decomposition for accurate reduced order models: applications of MP-LROM methodologyOpen-loop control of cavity noise using proper orthogonal decomposition reduced-order modelGeometrical parameter analysis on stabilizing the flow regime over a circular cylinder using two small rotating controllersInternational journal of computational fluid dynamics real-time prediction of unsteady flow based on POD reduced-order model and particle filterPOD/DEIM reduced-order strategies for efficient four dimensional variational data assimilationOptimal active control of laminar flow over a circular cylinder using Taguchi and ANNNonlinear model reduction: a comparison between POD-Galerkin and POD-DEIM methodsSurvey of Multifidelity Methods in Uncertainty Propagation, Inference, and OptimizationReduced-order modeling of transonic flows around an airfoil submitted to small deformationsA model reduction technique based on the PGD for elastic-viscoplastic computational analysisReduced order mesh optimisation using proper orthogonal decomposition and a modified cuckoo searchProgressive construction of a parametric reduced‐order model for PDE‐constrained optimizationMultiobjective optimal control methods for the Navier-Stokes equations using reduced order modelingParametric dynamic mode decomposition for reduced order modelingStrong and weak constraint variational assimilations for reduced order fluid flow modelingRecursive dynamic mode decomposition of transient and post-transient wake flowsA stabilized proper orthogonal decomposition reduced-order model for large scale quasigeostrophic ocean circulation\(\alpha \) regularization of the POD-Galerkin dynamical systems of the Kuramoto-Sivashinsky equationStabilization and Best Actuator Location for the Navier--Stokes EquationsA streamline derivative POD-ROM for advection-diffusion-reaction equationsOn the use of POD-based ROMs to analyze bifurcations in some dissipative systemsMulti-scale proper orthogonal decomposition of complex fluid flowsFast validation of stochastic structural models using a PGD reduction schemeA priori space-time separated representation for the reduced order modeling of low Reynolds number flowsA method to generate computationally efficient reduced order modelsA PGD-based homogenization technique for the resolution of nonlinear multiscale problemsA nonintrusive reduced order modelling approach using proper orthogonal decomposition and locally adaptive sparse gridsOptimal aerodynamic design of airfoils in unsteady viscous flowsOptimal control of the cylinder wake in the laminar regime by trust-region methods and POD reduced-order modelsFeedback control by low-order modelling of the laminar flow past a bluff bodyA domain decomposition non-intrusive reduced order model for turbulent flowsNumerical methods for low‐order modeling of fluid flows based on PODCalibration of POD reduced‐order models using Tikhonov regularizationA non-conforming dual approach for adaptive Trust-Region reduced basis approximation of PDE-constrained parameter optimizationA domain decomposition method for the non-intrusive reduced order modelling of fluid flowMinimum power consumption for drag reduction on a circular cylinder by tangential surface motionMultidimensional a priori hyper-reduction of mechanical models involving internal variablesAn adjoint method for shape optimization in unsteady viscous flowsPOD-Galerkin approximations in PDE-constrained optimizationDrag Minimization of the Cylinder Wake by Trust-Region Proper Orthogonal DecompositionReduced order modelling for unsteady fluid flow using proper orthogonal decomposition and radial basis functionsA dual-weighted trust-region adaptive POD 4D-VAR applied to a finite-element shallow-water equations modelRobust model identification of actuated vortex wakesEnablers for robust POD modelsReduced-order models for closed-loop wake controlReduced-order modelling of the flow around a high-lift configuration with unsteady Coanda blowingExperimental model-based closed-loop control of a separated boundary layer at high Reynolds numberGalerkin force model for transient and post-transient dynamics of the fluidic pinballOptimizing turbulent heat transfer using orthogonal decomposition-based contouringRobust flow control and optimal sensor placement using deep reinforcement learningNEW REGULARIZATION METHOD FOR CALIBRATED POD REDUCED-ORDER MODELSFinite-horizon parameterizing manifolds, and applications to suboptimal control of nonlinear parabolic PDEsApplication of physics-constrained data-driven reduced-order models to shape optimizationFluid flow dynamics under location uncertainty



Cites Work