- Home
- Publications
- Publication Search
- Publication Details
Title
Koopman Operator Spectrum for Random Dynamical Systems
Authors
Keywords
Stochastic Koopman operator, Random dynamical systems, Stochastic differential equations, Dynamic mode decomposition, 37H10, 47B33, 37M99, 65P99
Journal
JOURNAL OF NONLINEAR SCIENCE
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2019-09-14
DOI
10.1007/s00332-019-09582-z
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Data-Driven Model Reduction and Transfer Operator Approximation
- (2018) Stefan Klus et al. JOURNAL OF NONLINEAR SCIENCE
- Data Driven Modal Decompositions: Analysis and Enhancements
- (2018) Zlatko Drmač et al. SIAM JOURNAL ON SCIENTIFIC COMPUTING
- Manifold Learning With Contracting Observers for Data-Driven Time-Series Analysis
- (2017) Tal Shnitzer et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
- On Convergence of Extended Dynamic Mode Decomposition to the Koopman Operator
- (2017) Milan Korda et al. JOURNAL OF NONLINEAR SCIENCE
- Ergodic Theory, Dynamic Mode Decomposition, and Computation of Spectral Properties of the Koopman Operator
- (2017) Hassan Arbabi et al. SIAM JOURNAL ON APPLIED DYNAMICAL SYSTEMS
- De-biasing the dynamic mode decomposition for applied Koopman spectral analysis of noisy datasets
- (2017) Maziar S. Hemati et al. THEORETICAL AND COMPUTATIONAL FLUID DYNAMICS
- Data-driven spectral decomposition and forecasting of ergodic dynamical systems
- (2017) Dimitrios Giannakis APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS
- Bounds for Deterministic and Stochastic Dynamical Systems using Sum-of-Squares Optimization
- (2016) G. Fantuzzi et al. SIAM JOURNAL ON APPLIED DYNAMICAL SYSTEMS
- Correspondence between Koopman mode decomposition, resolvent mode decomposition, and invariant solutions of the Navier-Stokes equations
- (2016) Ati S. Sharma et al. Physical Review Fluids
- A Data–Driven Approximation of the Koopman Operator: Extending Dynamic Mode Decomposition
- (2015) Matthew O. Williams et al. JOURNAL OF NONLINEAR SCIENCE
- Numerical approximations of stochastic differential equations with non-globally Lipschitz continuous coefficients
- (2015) Martin Hutzenthaler et al. MEMOIRS OF THE AMERICAN MATHEMATICAL SOCIETY
- Discovering dynamic patterns from infectious disease data using dynamic mode decomposition
- (2015) Joshua L. Proctor et al. International Health
- Koopman-mode decomposition of the cylinder wake
- (2013) Shervin Bagheri JOURNAL OF FLUID MECHANICS
- Isostables, isochrons, and Koopman spectrum for the action–angle representation of stable fixed point dynamics
- (2013) A. Mauroy et al. PHYSICA D-NONLINEAR PHENOMENA
- Analysis of Fluid Flows via Spectral Properties of the Koopman Operator
- (2012) Igor Mezić Annual Review of Fluid Mechanics
- Applied Koopmanism
- (2012) Marko Budišić et al. CHAOS
- Nonlinear Koopman Modes and a Precursor to Power System Swing Instabilities
- (2012) Yoshihiko Susuki et al. IEEE TRANSACTIONS ON POWER SYSTEMS
- Linearization in the large of nonlinear systems and Koopman operator spectrum
- (2012) Yueheng Lan et al. PHYSICA D-NONLINEAR PHENOMENA
- Dynamic mode decomposition of numerical and experimental data
- (2010) PETER J. SCHMID JOURNAL OF FLUID MECHANICS
- Runge–Kutta Methods for the Strong Approximation of Solutions of Stochastic Differential Equations
- (2010) Andreas Rößler SIAM JOURNAL ON NUMERICAL ANALYSIS
- Applications of the dynamic mode decomposition
- (2010) P. J. Schmid et al. THEORETICAL AND COMPUTATIONAL FLUID DYNAMICS
- Spectral analysis of nonlinear flows
- (2009) CLARENCE W. ROWLEY et al. JOURNAL OF FLUID MECHANICS
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started