Results 51 to 60 of about 6,123,697 (192)
Order Reduction of the Chemical Master Equation via Balanced Realisation
, 2014 We consider a Markov process in continuous time with a finite number of discrete states. The time-dependent probabilities of being in any state of the Markov chain are governed by a set of ordinary differential equations, whose dimension might be large ...
Lopez-Caamal, Fernando +1 more
core +3 more sources
Approximated Lax Pairs for the Reduced Order Integration of Nonlinear Evolution Equations [PDF]
, 2014 A reduced-order model algorithm, called ALP, is proposed to solve nonlinear evolution partial differential equations. It is based on approximations of generalized Lax pairs.
Gerbeau, Jean-Frédéric +1 more
core +5 more sources
Reduced Order Podolsky Model [PDF]
Brazilian Journal of Physics, 2016 We perform the canonical and path integral quantizations of a lower-order derivatives model describing Podolsky's generalized electrodynamics. The physical content of the model shows an auxiliary massive vector field coupled to the usual electromagnetic field.
openaire +2 more sources
Multi-Frequency Aeroelastic ROM for Transonic Compressors
AerospaceThe accurate prediction of the aeroelastic behavior of turbomachinery for aircraft propulsion poses a difficult yet fundamental challenge, since modern aircraft engines tend to adopt increasingly slender blades to achieve a higher aerodynamic efficiency,
Marco Casoni +2 more
doaj +1 more source
A piecewise-linear reduced-order model of squeeze-film damping for deformable structures including large displacement effects [PDF]
, 2008 This paper presents a reduced-order model for the Reynolds equation for deformable structure and large displacements. It is based on the model established in [11] which is piece-wise linearized using two different methods. The advantages and drawbacks of
Alexia Missoffe +17 more
core +6 more sources
Determining Reduced Order Models for Optimal Stochastic Reduced Order Models
, 2015 The use of parameterized reduced order models(PROMs) within the stochastic reduced order model (SROM) framework is a logical progression for both methods. In this report, five different parameterized reduced order models are selected and critiqued against the other models along with truth model for the example of the Brake-Reuss beam. The models are: a
Matthew Bonney, Matthew Brake
openaire +2 more sources
A turbulence reduced order model based on non-interpolated convolutional autoencoder
Xibei Gongye Daxue XuebaoReduced-order modeling stands as a pivotal method in curbing the computational expenses linked with expansive fluid dynamics quandaries by employing proxy numerical simulations.
WU Pin, ZHANG Bo, SONG Chao, ZHOU Zhu
doaj +1 more source
A Reduced Order Model for Monitoring Aeroengines Condition in Real Time
Aerospace, 2023 A very fast reduced order model is developed to monitor aeroengines condition (defining their degradation from a baseline state) in real time, by using synthetic data collected in specific sensors.
Jose Rodrigo +3 more
doaj +1 more source
A reduced order model to assist welding parameter setup
Mechanics & IndustryThis article demonstrates the time saving in industrial process setup using numerical reduced order modelling (ROM). The numerical simulations may supply useful information to design manufacturing processes but are often time consuming and then not ...
Le Guennec Yves, Morville Simon
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Reduced Order Modeling and Sliding Mode Control of Active Magnetic Bearing
IEEE Access, 2019 Due to the accelerated growth in the field of power electronics and controller design techniques, the usage of the active magnetic bearing has picked up in industries. Active magnetic bearing helps the rotor to rotate freely without any physical contact.
Sudipta Saha +3 more
doaj +1 more source