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Jul 25, 2019 · The Koopman operator has provided a mathematical framework for the study of dynamical systems, which facilitates conjugacy arguments and can provide efficient ...
The Koopman operator has provided a mathematical framework for the study of dynamical systems which facilitates conjugacy arguments and can provide efficient ...
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Nonparametric Control-Koopman Operator Learning: Flexible and Scalable Models for Prediction and Control · Engineering, Computer Science. ArXiv · 2024.
On the Koopman Operator of Algorithms · This function has one local maximum and four local minima with three connecting saddle · functions (see equation (3.1)), ...
Jul 26, 2019 · In this paper, we use the Koopman operator framework in the data-driven study of such algorithms and discuss benefits for analysis and ...
Mar 9, 2024 · The Koopman operator theory is predicated on existence of a composition operator that dynamically evolves all the possible observables on the ...
Soon after the development of the original DMD algorithm [64, 63], Rowley, Mezic, and collaborators established an important connection between DMD and Koopman.
We leverage Koopman operator theory to identify (semi-)conjugacies between algorithms using their spectral properties. This provides a general framework with ...
It has recently been observed that eigenvalues and modes of the Koopman operator may be approximated using a data-driven algorithm called Dynamic Mode ...
May 14, 2024 · Koopman operator theory allows us to gain insights into the characteristic global properties of a system without requiring detailed mathematical models.