Results 21 to 30 of about 1,757,011 (294)
A Mean-Field Game Control for Large-Scale Swarm Formation Flight in Dense Environments
Sensors, 2022 As an important part of cyberphysical systems (CPSs), multiple aerial drone systems are widely used in various scenarios, and research scenarios are becoming increasingly complex.
Guofang Wang +3 more
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Differential dynamic microscopy for the characterization of polymer systems [PDF]
Journal of Polymer Science, 2021 AbstractThis review summarizes recent progress in investigating polymer systems by using Differential dynamic microscopy (DDM), a rapidly emerging approach that transforms a commercial microscope by combining real‐space information with the powerful capabilities of conventional light scattering analysis.
Roberto Cerbino +3 more
openaire +5 more sources
Numerical Modeling Tools and S-derivatives
Моделирование и анализ информационных систем, 2022 Numerical study of various processes leads to the need of clarification (extensions) of the limits of applicability of computational constructs and modeling tools.
Anatoly Nikolaevich Morozov
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dynoNet: A neural network architecture for learning dynamical systems [PDF]
International Journal of Adaptive Control and Signal Processing, 2020 This article introduces a network architecture, called dynoNet, utilizing linear dynamical operators as elementary building blocks. Owing to the dynamical nature of these blocks, dynoNet networks are tailored for sequence modeling and system ...
Marco Forgione, D. Piga
semanticscholar +1 more source
PRX Quantum, 2021 Quantum control, which refers to the active manipulation of physical systems described by the laws of quantum mechanics, constitutes an essential ingredient for the development of quantum technology.
Luuk Coopmans +4 more
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Auto-differentiable Ensemble Kalman Filters [PDF]
SIAM Journal on Mathematics of Data Science, 2021 Data assimilation is concerned with sequentially estimating a temporally-evolving state. This task, which arises in a wide range of scientific and engineering applications, is particularly challenging when the state is high-dimensional and the state ...
Yuming Chen, D. Sanz-Alonso, R. Willett
semanticscholar +1 more source
Rough Path Theory to Approximate Random Dynamical Systems [PDF]
SIAM Journal on Applied Dynamical Systems, 2020 We consider the rough differential equation $dY=f(Y)d\bm \om$ where $\bm \om=(\omega,\bbomega)$ is a rough path defined by a Brownian motion $\omega$ on $\RR^m$.
Hongjun Gao +4 more
semanticscholar +1 more source
Mathematical Biosciences and Engineering, 2020 In the ecological literature, mutual interference (self-interference) or competition among predators (CAP) to effect the harvesting of their prey has been modeled through different mathematical formulations.
Eduardo Gonzalez-Olivares +1 more
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Entropy, 2012 In this paper, we combine the two universalisms of thermodynamics and dynamical systems theory to develop a dynamical system formalism for classical thermodynamics. Specifically, using a compartmental dynamical system energy flow model we develop a state-
Wassim M. Haddad
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Fluid flow dynamics under location uncertainty [PDF]
, 2013 We present a derivation of a stochastic model of Navier Stokes equations that relies on a decomposition of the velocity fields into a differentiable drift component and a time uncorrelated uncertainty random term.
Mémin, Etienne
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