Results 31 to 40 of about 1,843,340 (266)

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   +3 more sources

Reduced Order Model Approach to Inverse Scattering [PDF]

SIAM Journal on Imaging Sciences, 2020
We study an inverse scattering problem for a generic hyperbolic system of equations with an unknown coefficient called the reflectivity. The solution of the system models waves (sound, electromagnetic or elastic), and the reflectivity models unknown scatterers embedded in a smooth and known medium.
Liliana Borcea, Vladimir Druskin, Alexander V. Mamonov, Mikhail Zaslavsky, Jörn T. Zimmerling   +4 more
openaire   +3 more sources

Development of a Reduced Order Model for Fuel Burnup Analysis

Energies, 2020
Fuel burnup analysis requires a high computational cost for full core calculations, due to the amount of the information processed for the total reaction rates in many burnup regions. Indeed, they reach the order of millions or more by a subdivision into
Christian Castagna, Manuele Aufiero, Stefano Lorenzi, Guglielmo Lomonaco, Antonio Cammi   +4 more
doaj   +1 more source

Venous Thromboembolism in Pediatric Bone Sarcoma Patients: A 10‐Year, Single‐Institution Experience Encompassing the COVID‐19 Pandemic

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Osteosarcoma (OS) and Ewing sarcoma (EWS) are the most common primary bone cancers in children, but acute thrombosis is poorly characterized in this population. Our study evaluated the rates of venous thromboembolism (VTE) and associated risk factors in pediatric patients with bone sarcomas treated over a 10‐year period encompassing
Sarah Kappa, Shou Xu, Mark Zobeck, Sarah E. Sartain, Nino Rainusso, Lisa Wang, Nicole Montgomery, Paige Wheaton, Sarah Whittle   +8 more
wiley   +1 more source

Time Toxicity in Wilms Tumor: Quantifying the Burden of Healthcare Interaction in the First Year After Diagnosis

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Wilms tumor (WT) treatment imposes a significant time burden on patients and their families. Time toxicity is a patient‐centered metric that quantifies the burden of healthcare interaction. We sought to define time toxicity in the first year after diagnosis of WT and hypothesized that it would increase as tumor stage and treatment ...
Caleb Q. Ashbrook, Veerain Gupta, Nicholas J. Clark, Vijay Rings, Lauren E. Corona, Douglass B. Clayton, Daniel J. Benedetti   +6 more
wiley   +1 more source

Reduced order model for hard magnetic films

AIP Advances
In the pursuit of rare earth-lean permanent magnets for green technologies, microstructural optimisation offers a promising strategy to enhance coercivity while minimising critical element content.
H. Moustafa, A. Kovacs, J. Fischbacher, M. Gusenbauer, Q. Ali, L. Breth, Y. Hong, W. Rigaut, T. Devillers, N. M. Dempsey, T. Schrefl, H. Oezelt   +11 more
doaj   +1 more source

Nonlinear observer for hydropower system [PDF]

Modeling, Identification and Control, 2019
Estimation of unmeasured states plays an essential role in the design of control systems as well as for monitoring of hydropower plants. The standard Kalman filter gives the optimum state estimates for linear systems.
Liubomyr Vytvytskyi, Roshan Sharma, Bernt Lie   +2 more
doaj   +1 more source

Heterogeneity in the Global Practice of Central Nervous System Staging in Pediatric Acute Lymphoblastic Leukemia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Central nervous system (CNS) involvement in childhood acute lymphoblastic leukemia (ALL) is assessed by cell counting and cytomorphology from cerebrospinal fluid (CSF) and is used for treatment stratification worldwide. The ratio of “CNS2” patients in clinical trials ranges from 3% to 40%, with unclear prognostic significance ...
Laura Almási, Bernadett Borbála Huszti, Gábor Barna, Marko Kavcic, Janez Jazbec, Lennart Lenk, Vera Münch, Sophia Polychronopoulou, Ágnes Márk, Maria Thastrup, Lüder H. Meyer, Kjeld Schmiegelow, Cornelia Eckert, Christina Halsey, Dániel J. Erdélyi   +14 more
wiley   +1 more source

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

Approximate deconvolution reduced order modeling [PDF]

Computer Methods in Applied Mechanics and Engineering, 2017
This paper proposes a large eddy simulation reduced order model(LES-ROM) framework for the numerical simulation of realistic flows. In this LES-ROM framework, the proper orthogonal decomposition(POD) is used to define the ROM basis and a POD differential filter is used to define the large ROM structures.
Xie, X., Wells, D., Wang, Z., Iliescu, Traian   +3 more
openaire   +4 more sources