Pages that link to "Item:Q1744123"
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The following pages link to On convergence of extended dynamic mode decomposition to the Koopman operator (Q1744123):
Displaying 50 items.
- Detecting regime transitions in time series using dynamic mode decomposition (Q781788) (← links)
- A data-driven approximation of the koopman operator: extending dynamic mode decomposition (Q897161) (← links)
- Linear predictors for nonlinear dynamical systems: Koopman operator meets model predictive control (Q1796994) (← links)
- Koopman operator spectrum for random dynamical systems (Q2022704) (← links)
- Reproducing kernel Hilbert space compactification of unitary evolution groups (Q2036491) (← links)
- Dynamic mode decomposition for continuous time systems with the Liouville operator (Q2062874) (← links)
- Robust tube-based model predictive control with Koopman operators (Q2071959) (← links)
- Tensor-based computation of metastable and coherent sets (Q2077619) (← links)
- Existence and uniqueness of global Koopman eigenfunctions for stable fixed points and periodic orbits (Q2077724) (← links)
- Finite-data error bounds for Koopman-based prediction and control (Q2105227) (← links)
- Data-driven reduced-order modeling for nonautonomous dynamical systems in multiscale media (Q2112501) (← links)
- Data-driven approximation of the Koopman generator: model reduction, system identification, and control (Q2115518) (← links)
- Lagrangian dynamic mode decomposition for construction of reduced-order models of advection-dominated phenomena (Q2122715) (← 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)
- Deep learning nonlinear multiscale dynamic problems using Koopman operator (Q2133546) (← links)
- A reduced order method for nonlinear parameterized partial differential equations using dynamic mode decomposition coupled with \(k\)-nearest-neighbors regression (Q2133585) (← links)
- Model and data reduction for data assimilation: particle filters employing projected forecasts and data with application to a shallow water model (Q2147287) (← links)
- Dynamic mode decomposition for analytic maps (Q2204447) (← links)
- Kernel embedding based variational approach for low-dimensional approximation of dynamical systems (Q2237840) (← links)
- Koopman operator-based model reduction for switched-system control of PDEs (Q2280764) (← links)
- Variational approach for learning Markov processes from time series data (Q2303757) (← links)
- Eigendecompositions of transfer operators in reproducing kernel Hilbert spaces (Q2303767) (← links)
- Delay-coordinate maps and the spectra of Koopman operators (Q2315148) (← links)
- On the universal transformation of data-driven models to control systems (Q2681379) (← links)
- Extended dynamic mode decomposition for two paradigms of non-linear dynamical systems (Q2684647) (← links)
- Crisis of the chaotic attractor of a climate model: a transfer operator approach (Q4569304) (← links)
- Data-driven reduced modelling of turbulent Rayleigh–Bénard convection using DMD-enhanced fluctuation–dissipation theorem (Q4585936) (← links)
- Extended dynamic mode decomposition with dictionary learning: A data-driven adaptive spectral decomposition of the Koopman operator (Q4644309) (← links)
- On Matching, and Even Rectifying, Dynamical Systems through Koopman Operator Eigenfunctions (Q4686615) (← links)
- Data-Driven Model Predictive Control using Interpolated Koopman Generators (Q4983502) (← links)
- Sparsity-promoting algorithms for the discovery of informative Koopman-invariant subspaces (Q4987934) (← links)
- Discriminant Dynamic Mode Decomposition for Labeled Spatiotemporal Data Collections (Q5072984) (← links)
- Modern Koopman Theory for Dynamical Systems (Q5075835) (← links)
- Generative Stochastic Modeling of Strongly Nonlinear Flows with Non-Gaussian Statistics (Q5097837) (← links)
- Time-Delay Observables for Koopman: Theory and Applications (Q5109371) (← links)
- Physics-Informed Probabilistic Learning of Linear Embeddings of Nonlinear Dynamics with Guaranteed Stability (Q5109771) (← links)
- Prediction Accuracy of Dynamic Mode Decomposition (Q5112644) (← links)
- On Least Squares Problems with Certain Vandermonde--Khatri--Rao Structure with Applications to DMD (Q5132014) (← links)
- Koopman operator and its approximations for systems with symmetries (Q5242065) (← links)
- Koopman Analysis of Isolated Fronts and Solitons (Q5859787) (← links)
- Koopman Resolvent: A Laplace-Domain Analysis of Nonlinear Autonomous Dynamical Systems (Q5860634) (← links)
- Sparsity Structures for Koopman and Perron--Frobenius Operators (Q5868544) (← links)
- Residual dynamic mode decomposition: robust and verified Koopmanism (Q5871684) (← links)
- Overcoming the timescale barrier in molecular dynamics: Transfer operators, variational principles and machine learning (Q6047503) (← links)
- Data-driven probability density forecast for stochastic dynamical systems (Q6054200) (← links)
- On the Approximability of Koopman-Based Operator Lyapunov Equations (Q6057800) (← links)
- Auxiliary functions as Koopman observables: data-driven analysis of dynamical systems via polynomial optimization (Q6066022) (← links)
- Singular Dynamic Mode Decomposition (Q6076402) (← links)
- The mpEDMD Algorithm for Data-Driven Computations of Measure-Preserving Dynamical Systems (Q6108137) (← links)