Results 41 to 50 of about 15,278,073 (285)

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

Reduced Order Modeling of an Industrial Feeder Model

IFAC Proceedings Volumes, 2003
Models of glaes furnaces are described by a set of nonlinear partial differential equâtioris which govern the mass, momentum and energy balances and a numberof non-linear functions of the independent scalais which describe the dependent variables like viscosities and densities in a fluid.
Astrid, P., Weiland, S., Twerda, A.
openaire   +3 more sources

Reduced Order Modeling Methods for Turret - Gun System [PDF]

, 1990
Reduced-order modeling techniques are used to design lower order robust controllers for a turret-gun system. The balance-truncation, Routh approximation, and L. Litz\u27s (1980) modal techniques are used to derive the models. A critical comparison of the
Rao, Vittal S., Norman P. Coleman, S. Vittal Rao, Coleman, Norman P.   +3 more
core   +1 more source

Stress-constrained topology optimization using approximate reanalysis with on-the-fly reduced order modeling

Advanced Modeling and Simulation in Engineering Sciences, 2022
Most of the methods used today for handling local stress constraints in topology optimization, fail to directly address the non-self-adjointness of the stress-constrained topology optimization problem.
Manyu Xiao, Jun Ma, Dongcheng Lu, Balaji Raghavan, Weihong Zhang   +4 more
doaj   +1 more source

Linear Reduced-Order Model Predictive Control

IEEE Transactions on Automatic Control, 2022
Model predictive controllers use dynamics models to solve constrained optimal control problems. However, computational requirements for real-time control have limited their use to systems with low-dimensional models. Nevertheless, high-dimensional models arise in many settings, for example discretization methods for generating finite-dimensional ...
Joseph Lorenzetti, Andrew McClellan, Charbel Farhat, Marco Pavone 0001   +3 more
openaire   +4 more sources

Retrospective Analysis of Donor Lymphocyte Infusions in Pediatric Patients With Mixed Chimerism After Hematopoietic Stem Cell Transplantation

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Allogeneic hematopoietic stem cell transplantation (alloHSCT) is an essential therapy for several malignant and nonmalignant diseases, but relapse and graft loss remain the principal threats to its success. Routine monitoring of chimerism and minimal residual disease (MRD) enables early detection of imminent recurrence and guides ...
Carmen Junk, Sebastian Michaelis, Michaela Döring, Thomas Eichholz, Ursula Holzer, Martin Ebinger, Tim Flaadt, Rupert Handgretinger, Peter Lang, Jan Frederic Weller, Markus Mezger   +10 more
wiley   +1 more source

Aero-structural characterization of wing planforms using machine learning

Advances in Aerodynamics
This study introduces a machine learning (ML) framework for efficient aero-structural characterization of wing planform shapes, addressing the computational challenges posed by traditional CFD and FEA methods.
Mehedi Hasan, Zhongmin Deng, Azad Khandoker   +2 more
doaj   +1 more source

Epistemic Uncertainty-Aware Barlow Twins Reduced Order Modeling for Nonlinear Contact Problems

IEEE Access, 2023
This study presents a method for constructing machine learning-based reduced order models (ROMs) that accurately simulate nonlinear contact problems while quantifying epistemic uncertainty.
Teeratorn Kadeethum, John D. Jakeman, Youngsoo Choi, Nikolaos Bouklas, Hongkyu Yoon   +4 more
doaj   +1 more source

Pediatric Idiopathic Multicentric Castleman Disease Is Often Severe But Responsive to Siltuximab

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Idiopathic multicentric Castleman disease (iMCD) is a potentially fatal immunologic disorder marked by widespread lymphadenopathy and inflammation. Siltuximab, an interleukin‐6 (IL‐6) inhibitor, is the only FDA‐approved treatment for adult patients with iMCD.
Bridget Austin, Sheila K. Pierson, Kelley C. Dacus, Mateo Sarmiento Bustamante, Saishravan Shyamsundar, Larissa Borys, Kayla McHugh, Abiola Irvine, Yoojin Jo, Adam Bagg, Mary Jo Lechowicz, Daisy Alapat, Amy Chadburn, Megan S. Lim, Gordan Srkalovic, Frits van Rhee, David C. Fajgenbaum, Joshua D. Brandstadter   +17 more
wiley   +1 more source

Space-time numerical simulation and validation of analytical predictions for nonlinear forced dynamics of suspended cables [PDF]

, 2008
This paper presents space-time numerical simulation and validation of analytical predictions for the finite-amplitude forced dynamics of suspended cables.
Rega, Giuseppe, Srinil, Narakorn
core   +4 more sources