Results 81 to 90 of about 1,914,780 (311)
Reduced-Order Modelling for Production Optimisation
Production optimisation of a reservoir simulation problem can be very computationally demanding as the reservoir model may contain many variables and nonlinearities, thus many iterations may be needed to obtain an optimal production schedule.
Hewson, Chris, Hewson, C.W. (author)
core +1 more source
An adaptive aeroelastic control approach using non linear reduced order models [PDF]
A systematic approach to the model order reduction of high fidelity coupled fluid/structure/flight dynamics models and the subsequent control design is described. It uses information on the eigenspectrum of the coupled-system Jacobian matrix and projects
Palacios, R. +13 more
core +1 more source
Septin 9 polybasic domains couple phosphoinositide‐rich membrane binding to centrosome positioning, Golgi organization, and microtubule acetylation to control epithelial polarity. Their loss disrupts this axis, causing centrosome mispositioning, Golgi fragmentation, reduced microtubule acetylation, and polarity inversion via upregulation of the ...
Ting ting Cai +4 more
wiley +1 more source
Reduced-order modelling of vortex-induced vibration of catenary riser
A new reduced-order model capable of analyzing the vortex-induced vibration of catenary riser in the ocean current has been developed. This semi analytical-numerical approach is versatile and allows for a significant reduction in computational effort for
O' Brien, P. +5 more
core +1 more source
Ctene kinematics vs. reduced-order model approximation.
This video shows a side-to-side comparison of a ctenophore rowing and the reduced-order model approximation. (MP4)
Adrian Herrera-Amaya (17409977) +1 more
core +1 more source
Modulation of Homer1 EVH1 domain internal dynamics by putative autism‐associated mutations
The putative autism‐associated M65I and S97L variants of the EVH1 domain of the postsynaptic scaffold protein Homer1 do not exhibit substantial changes in their overall structure or partner binding. Both of them, but especially the M65I variant, show altered internal dynamics relative to the wild‐type domain on the μs‐ms timescale, indicated by the ...
Fanni Farkas +6 more
wiley +1 more source
A Fractional-Order Model-Assisted Reduced-Order ADRC for Photoelectric Stabilized Platforms
To enhance the dynamic performance and disturbance rejection capability of photoelectric stabilized platforms, this study proposes a Fractional-Order Model-assisted Reduced-order Linear Active Disturbance Rejection Control (FO-MRLADRC) algorithm.
Guoyu Lin +3 more
doaj +1 more source
Reduced order models based on pod method for schrödinger equations
Reduced-order models (ROM) are developed using the proper orthogonal decomposition (POD) for one dimensional linear and nonlinear Schrödinger equations. The main aim of this paper is to study the accuracy and robustness of the ROM approximations.
Gerda Jankevičiutė +3 more
doaj +1 more source
An orifice shape-based reduced order model of patient-specific mitral valve regurgitation
Mitral valve regurgitation (MR) is one of the most prevalent valvular heart diseases. Its quantitative assessment is challenging but crucial for treatment decisions.
J. Franz +12 more
doaj +1 more source
KROM: Kernelized Reduced Order Modeling
We propose KROM, a kernel-based reduced-order framework for fast solution of nonlinear partial differential equations. KROM formulates PDE solution as a minimum-norm (Gaussian-process) recovery problem in an RKHS, and accelerates the resulting kernel solves by sparsifying the precision matrix via sparse Cholesky factorization.
Aras Bacho, Jonghyeon Lee, Houman Owhadi
openaire +2 more sources

