Results 221 to 230 of about 17,477 (250)

qNEP: A Highly Efficient Neuroevolution Potential with Dynamic Charges for Large-Scale Atomistic Simulations. [PDF]

open access: yesJ Chem Theory Comput
Fan Z   +15 more
europepmc   +1 more source

Learning Latent Representations to Bridge Coarse-Grained and Atomistic Resolutions in Polymer Simulations. [PDF]

open access: yesJ Chem Theory Comput
Desai S   +5 more
europepmc   +1 more source

Higher Order Extended Dynamic Mode Decomposition Based on the Structured Total Least Squares

SIAM Journal of Scientific Computing, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Weiyang Ding, Jie Li
exaly   +2 more sources

Approximating the Koopman Operator using Noisy Data: Noise-Resilient Extended Dynamic Mode Decomposition

2019 American Control Conference (ACC), 2019
This paper presents a data-driven method to find a finite-dimensional approximation for the Koopman operator using noisy data. The proposed method is a modification of Extended Dynamic Mode Decomposition which finds an approximation for the projection of the Koopman operator on a subspace spanned by a predefined dictionary of functions.
Jorge Cortes, Masih Haseli
exaly   +2 more sources

Model predictive control of vehicle dynamics based on the Koopman operator with extended dynamic mode decomposition

2021 22nd IEEE International Conference on Industrial Technology (ICIT), 2021
The control of vehicle dynamics is a very demanding task due to the complex nonlinear tire characteristics and the coupled lateral and longitudinal dynamics of the vehicle. When designing a Model Predictive Controller (MPC) for vehicle dynamics, this can lead to a non- convex optimization problem.
Švec, Marko   +2 more
openaire   +3 more sources

Symbolic extended dynamic mode decomposition

Chaos: An Interdisciplinary Journal of Nonlinear Science
In this paper, we present a new method of performing extended dynamic mode decomposition (EDMD) on systems, which admit a symbolic representation. EDMD generates estimates of the Koopman operator, K, for a dynamical system by defining a dictionary of observables on the space and producing an estimate, Km, which is restricted to be invariant on the span
Connor Kennedy   +2 more
openaire   +3 more sources

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