Pages that link to "Item:Q2974733"

The following pages link to Model Reduction for Flow Analysis and Control (Q2974733):

Displaying 50 items.

• Reduced-order modelling for flow control. Papers based on the presentations at the course, Udine, Italy, September 2008 (Q532482) (← links)
• Control of linear instabilities by dynamically consistent order reduction on optimally time-dependent modes (Q783348) (← links)
• A reduced-order method for simulation and control of fluid flows (Q1287181) (← links)
• An improved criterion to select dominant modes from dynamic mode decomposition (Q1672141) (← links)
• Stabilized principal interval decomposition method for model reduction of nonlinear convective systems with moving shocks (Q1715737) (← links)
• A modified proper orthogonal decomposition method for flow dynamic analysis (Q1735014) (← links)
• Neural network closures for nonlinear model order reduction (Q1756917) (← links)
• On reduced input-output dynamic mode decomposition (Q1756919) (← links)
• Analytical approximation of open-channel flow for controller design (Q1776677) (← links)
• Error estimation of the parametric non-intrusive reduced order model using machine learning (Q1988235) (← links)
• Embedding data analytics and CFD into the digital twin concept (Q2028120) (← links)
• An enhanced algorithm for online proper orthogonal decomposition and its parallelization for unsteady simulations (Q2094341) (← links)
• A long short-term memory embedding for hybrid uplifted reduced order models (Q2125587) (← links)
• A data-driven, physics-informed framework for forecasting the spatiotemporal evolution of chaotic dynamics with nonlinearities modeled as exogenous forcings (Q2129328) (← links)
• Extended dynamic mode decomposition for inhomogeneous problems (Q2132641) (← links)
• A reduced order method for nonlinear parameterized partial differential equations using dynamic mode decomposition coupled with \(k\)-nearest-neighbors regression (Q2133585) (← links)
• Machine learning for fluid flow reconstruction from limited measurements (Q2134510) (← links)
• An optimization method for chaotic turbulent flow (Q2135828) (← links)
• A dynamic mode decomposition technique for the analysis of non-uniformly sampled flow data (Q2168306) (← links)
• Assessment of end-to-end and sequential data-driven learning for non-intrusive modeling of fluid flows (Q2190672) (← links)
• Evaluating the accuracy of the dynamic mode decomposition (Q2192452) (← links)
• An artificial neural network framework for reduced order modeling of transient flows (Q2206568) (← links)
• A parallel and streaming dynamic mode decomposition algorithm with finite precision error analysis for large data (Q2214545) (← links)
• A nudged hybrid analysis and modeling approach for realtime wake-vortex transport and decay prediction (Q2245302) (← links)
• Projection-based and neural-net reduced order model for nonlinear Navier-Stokes equations (Q2245826) (← links)
• A stabilized mixed space-time proper generalized decomposition for the Navier-Stokes equations (Q2246303) (← links)
• Machine learning closures for model order reduction of thermal fluids (Q2295965) (← links)
• Adaptive reduced basis method for the reconstruction of unsteady vortex-dominated flows (Q2313685) (← links)
• Sparse feature map-based Markov models for nonlinear fluid flows (Q2331856) (← links)
• Frequency–time analysis, low-rank reconstruction and denoising of turbulent flows using SPOD (Q3380346) (← links)
• Sparse reduced-order modelling: sensor-based dynamics to full-state estimation (Q4563901) (← links)
• Spectral proper orthogonal decomposition and its relationship to dynamic mode decomposition and resolvent analysis (Q4582918) (← links)
• Data-driven reduced modelling of turbulent Rayleigh–Bénard convection using DMD-enhanced fluctuation–dissipation theorem (Q4585936) (← links)
• Modal analysis of the wake past a marine propeller (Q4690206) (← links)
• Sparsity-promoting algorithms for the discovery of informative Koopman-invariant subspaces (Q4987934) (← links)
• Galerkin force model for transient and post-transient dynamics of the fluidic pinball (Q4989062) (← links)
• 9 From the POD-Galerkin method to sparse manifold models (Q4993250) (← links)
• Data-driven inference of high-accuracy isostable-based dynamical models in response to external inputs (Q5000884) (← links)
• Model-Based Adaptive MOR Framework for Unsteady Flows Around Lifting Bodies (Q5014030) (← links)
• Application of physics-constrained data-driven reduced-order models to shape optimization (Q5022975) (← links)
• Evolution of Nonlinear Reduced-Order Solutions for PDEs with Conserved Quantities (Q5028407) (← links)
• Impact of POD modes energy redistribution on flow reconstruction for unsteady flows of impulsively started airfoils and wings (Q5031596) (← links)
• Asynchronous and synchronous quenching of a globally unstable jet via axisymmetry breaking (Q5037742) (← links)
• Improved convergence of the spectral proper orthogonal decomposition through time shifting (Q5043331) (← links)
• <i>A priori</i> sparsification of Galerkin models (Q5074575) (← links)
• Optimizing Oblique Projections for Nonlinear Systems using Trajectories (Q5088776) (← links)
• Feedback control of vortex shedding using a resolvent-based modelling approach (Q5114275) (← links)
• Linear feedback control of invariant solutions in channel flow (Q5115607) (← links)
• The<i>l</i>₁-based sparsification of energy interactions in unsteady lid-driven cavity flow (Q5131427) (← links)
• Image-based flow decomposition using empirical wavelet transform (Q5144528) (← links)