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Measurement of China's "External Market Provider" Role: Trade-Margin Decomposition and Gravity Determinants. [PDF]
Zhao M, Lu Y.
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qNEP: A Highly Efficient Neuroevolution Potential with Dynamic Charges for Large-Scale Atomistic Simulations. [PDF]
Fan Z +15 more
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BABAPPAlign: a multiple sequence alignment engine with a learned residue-level scoring function. [PDF]
Sinha K.
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Higher-Order Triadic Interactions: Insights Into the Multiscale Network Organization in Schizophrenia. [PDF]
Li Q +5 more
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Learning Latent Representations to Bridge Coarse-Grained and Atomistic Resolutions in Polymer Simulations. [PDF]
Desai S +5 more
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Higher Order Extended Dynamic Mode Decomposition Based on the Structured Total Least Squares
SIAM Journal of Scientific Computing, 2023zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Weiyang Ding, Jie Li
exaly +2 more sources
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
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
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
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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
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Symbolic extended dynamic mode decomposition
Chaos: An Interdisciplinary Journal of Nonlinear ScienceIn 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
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