Results 31 to 40 of about 472,452 (242)

Renormalization group as a Koopman operator [PDF]

open access: yesPhysical Review E, 2020
Koopman operator theory is shown to be directly related to the renormalization group. This observation allows us, with no assumption of translational invariance, to compute the critical exponents $η$ and $δ$, as well as ratios of critical exponents, of classical spin systems from single observables alone.
openaire   +3 more sources

Uncertainty Quantification of Autoencoder-based Koopman Operator [PDF]

open access: yes, 2023
This paper proposes a method for uncertainty quantification of an autoencoder-based Koopman operator. The main challenge of using the Koopman operator is to design the basis functions for lifting the state.
Quan, Ying Shuai   +2 more
core   +1 more source

A Koopman Operator Tutorial with Othogonal Polynomials

open access: yesCoRR, 2021
The Koopman Operator (KO) offers a promising alternative methodology to solve ordinary differential equations analytically. The solution of the dynamical system is analyzed in terms of observables, which are expressed as a linear combination of the eigenfunctions of the system.
Simone Servadio   +2 more
openaire   +3 more sources

Data-driven prediction of temperature variations in an open cathode proton exchange membrane fuel cell stack using Koopman operator

open access: yesEnergy and AI, 2023
In this study, a novel application of the Koopman operator for control-oriented modeling of proton exchange membrane fuel cell (PEMFC) stacks is proposed. The primary contributions of this paper are: (1) the design of Koopman-based models for a fuel cell
Da Huo, Carrie M. Hall
doaj   +1 more source

Koopman Invariant Subspaces and Finite Linear Representations of Nonlinear Dynamical Systems for Control. [PDF]

open access: yesPLoS ONE, 2016
In this wIn this work, we explore finite-dimensional linear representations of nonlinear dynamical systems by restricting the Koopman operator to an invariant subspace spanned by specially chosen observable functions.
Steven L Brunton   +3 more
doaj   +1 more source

A quantitative analysis of Koopman operator methods for system identification and predictions

open access: yesComptes Rendus. Mécanique, 2022
We give convergence and cost estimates for a data-driven system identification method: given an unknown dynamical system, the aim is to recover its vector field and its flow from trajectory data.
Zhang, Christophe, Zuazua, Enrique
doaj   +1 more source

Diffeomorphically Learning Stable Koopman Operators

open access: yesIEEE Control Systems Letters, 2022
Revised version submitted to IEEE Control Systems Letters (L-CSS) with substantially revised exposition, evaluation and proof of Lemma 2 (previously Lemma 8)
Petar Bevanda   +5 more
openaire   +4 more sources

Feedback Stabilization Using Koopman Operator [PDF]

open access: yes2018 IEEE Conference on Decision and Control (CDC), 2018
Accepted for IEEE Conference on Decision and Control(CDC ...
Bowen Huang, Xu Ma 0002, Umesh Vaidya
openaire   +2 more sources

Koopman Operator Framework for Spectral Analysis and Identification of Infinite-Dimensional Systems

open access: yesMathematics, 2021
We consider the Koopman operator theory in the context of nonlinear infinite-dimensional systems, where the operator is defined over a space of bounded continuous functionals. The properties of the Koopman semigroup are described and a finite-dimensional
Alexandre Mauroy
doaj   +1 more source

On the Approximability of Koopman-Based Operator Lyapunov Equations

open access: yesSIAM Journal on Control and Optimization, 2023
Lyapunov equations, Koopman operator, infinite dimensional systems ...
Tobias Breiten, Bernhard Höveler
openaire   +3 more sources

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