Results 41 to 50 of about 13,527,272 (221)
Application of time-frequency spectral analysis methods
Trudy Odesskogo Politehničeskogo Universiteta, 2015 In this article the limited application of the non-stationary signals spectra classical analysis using the Fourier transform is substantiated. It is shown that Fourier transform has benefits at periodic signals analysis and limitations when non ...
Yuriy K. Filipsky +2 more
doaj +1 more source
Variable Dynamic Mode Decomposition for Estimating Time Eigenvalues in Nuclear Systems [PDF]
Nuclear science and engineering, 2022 We present a new approach to calculating time eigenvalues of the neutron transport operator (also known as eigenvalues) by extending the dynamic mode decomposition (DMD) to allow for nonuniform time steps.
E. Smith, Ilham Variansyah, R. McClarren
semanticscholar +1 more source
Dynamics in mode choice behaviour [PDF]
, 2021 To reverse the worrying long-term trends of growing mobility, such as congestion and CO2 emissions, policy makers try to encourage mode shifts from car use to public transport, cycling and walking. Panel data analyses provide insights into the dynamics in mode choice behaviour.
openaire +1 more source
Безітераційний розрахунокдинамічних процесів у електричних колах з нелінійними реактивностями
Elektrotehnìka ta Elektroenergetika, 2010 Пропонується методика розрахунку динамічних режимів електричних кiл, що містять нелінійні індуктивності і ємності. Методика заснована на явних методах інтегрування диференціальних рівнянь і вимагає на кожному кроці вирішення прорахунку лінійного ланцюга,
L. M. Kanov
doaj +1 more source
Time-series forecasting of ships maneuvering in waves via dynamic mode decomposition
Journal of Ocean Engineering and Marine Energy, 2022 A data-driven and equation-free approach is proposed and discussed to forecast responses of ships maneuvering in waves, based on the dynamic mode decomposition (DMD).
M. Diez, A. Serani, E. Campana, F. Stern
semanticscholar +1 more source
A power flow mode theory based on a system's damping distribution and power flow design approaches [PDF]
, 2005 A power flow mode theory is developed to describe the natural power flow behaviour of a dynamic system based on its inherent damping distribution.
Xing, J.T. +5 more
core +1 more source
Design of Sliding Mode Autopilot with Steady-state Error Elimination for Autonomous Underwater Vehicles [PDF]
, 2006 Autonomous Underwater Vehicles (AUVs) have nonlinear and time-varying behaviour and unmodelled dynamics. This paper describes the design, development and evaluation of nonlinear sliding mode autopilot system for an AUV to control the speed, steering and ...
Shi, Juan
core +7 more sources
Известия высших учебных заведений: Проблемы энергетики, 2017 The results of experimental studies of solubility of TNT in pure and modified supercritical carbon dioxide (SC-CO2) are presented. Studies were carried out in a temperature range of 308.15-333.15 K and pressure interval 10.0-35.0 MPa on circulating type ...
T. R. Bilalov, F. M. Gumerov
doaj +1 more source
Bayesian Dynamic Mode Decomposition [PDF]
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017 Dynamic mode decomposition (DMD) is a data-driven method for calculating a modal representation of a nonlinear dynamical system, and it has been utilized in various fields of science and engineering. In this paper, we propose Bayesian DMD, which provides a principled way to transfer the advantages of the Bayesian formulation into DMD.
Naoya Takeishi +3 more
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Constrained Dynamic Mode Decomposition
IEEE Transactions on Visualization and Computer Graphics, 2022 Frequency-based decomposition of time series data is used in many visualization applications. Most of these decomposition methods (such as Fourier transform or singular spectrum analysis) only provide interaction via pre- and post-processing, but no means to influence the core algorithm.
Tim Krake +3 more
openaire +3 more sources