Results 21 to 30 of about 472,452 (242)

Adversarial dynamical systems characterize when data-driven learning succeeds or fails [PDF]

open access: yesNature Communications
Many systems resist analytical modeling, making data-driven inference of dynamics important. Yet data-driven methods can fail to converge or generalize, leaving open a central question: When can system behavior be learned reliably from data, and when is ...
Matthew J. Colbrook   +2 more
doaj   +2 more sources

Temporally consistent Koopman autoencoders for forecasting dynamical systems [PDF]

open access: yesScientific Reports
Absence of sufficiently high-quality data often poses a key challenge in data-driven modeling of high-dimensional spatio-temporal dynamical systems.
Indranil Nayak   +4 more
doaj   +2 more sources

Sharp Spectral Rates for Koopman Operator Learning [PDF]

open access: yes, 2023
International audienceNonlinear dynamical systems can be handily described by the associated Koopman operator, whose action evolves every observable of the system forward in time.
Lounici, Karim   +3 more
core   +9 more sources

On the Koopman Operator of Algorithms [PDF]

open access: yesSIAM Journal on Applied Dynamical Systems, 2020
27 pages, 11 ...
Felix Dietrich   +2 more
openaire   +3 more sources

Symplectic Geometry of the Koopman Operator [PDF]

open access: yesDoklady Mathematics, 2021
Abstract We consider the Koopman operator generated by an invertible transformation of a space with a finite countably additive measure. If the square of this transformation is ergodic, then the orthogonal Koopman operator is a symplectic transformation on the real Hilbert space of square summable functions with
openaire   +1 more source

Koopman Operators and the $3x+1$-Dynamical System [PDF]

open access: yesSIAM Journal on Applied Dynamical Systems, 2021
The $3x+1$-problem (or Collatz problem) is a notorious conjecture in arithmetic. It can be viewed as iterating a map and, therefore, it is a dynamical system on the discrete space $\mathbb{N}$ of natural numbers. The emerging dynamical system is studied in the present work with methods from the theory of Koopman operators and $C^*$-algebras.
John Leventides, Costas Poulios
openaire   +4 more sources

Model-Free Geometric Fault Detection and Isolation for Nonlinear Systems Using Koopman Operator

open access: yesIEEE Access, 2022
This paper presents a model-free fault detection and isolation (FDI) method for nonlinear dynamical systems using Koopman operator theory and linear geometric technique.
Mohammadhosein Bakhtiaridoust   +3 more
doaj   +1 more source

Sparsity structures for Koopman operators

open access: yesIEICE Proceeding Series, 2021
We present a decomposition of the Koopman operator based on the sparse structure of the underlying dynamical system, allowing one to consider the system as a family of subsystems interconnected by a graph. Using the intrinsic properties of the Koopman operator, we show that eigenfunctions for the subsystems induce eigenfunctions for the whole system ...
Schlosser, Corbinian, Korda, Milan
openaire   +3 more sources

Koopman operator based model predictive control for trajectory tracking of an omnidirectional mobile manipulator

open access: yesMeasurement + Control, 2022
Omnidirectional mobile manipulators (OMMs) have been widely used due to their high mobility and operating flexibility. However, since OMMs are complex nonlinear systems with uncertainties, the dynamic modeling and control are always challenging problems.
Xuehong Zhu   +3 more
doaj   +1 more source

Koopman Operator for Nonlinear Flight Dynamics [PDF]

open access: yes, 2022
Dynamical systems representing vehicle flight are inherently nonlinear. Currently there are no generalised frameworks for explicit characterisation and solution of such systems.
Bone, Viv, Jahn, Ingo, Lock, Andrew
core   +1 more source

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