Results 31 to 40 of about 4,793,633 (336)
Model order reduction assisted by deep neural networks (ROM-net)
Advanced Modeling and Simulation in Engineering Sciences, 2020 In this paper, we propose a general framework for projection-based model order reduction assisted by deep neural networks. The proposed methodology, called ROM-net, consists in using deep learning techniques to adapt the reduced-order model to a ...
Thomas Daniel +3 more
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Model and Controller Order Reduction for Infinite Dimensional Systems [PDF]
ITB Journal of Engineering Science, 2010 This paper presents a reduced order model problem using reciprocal transformation and balanced truncation followed by low order controller design of infinite dimensional systems.
Fatmawati +3 more
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Model order reduction based on Runge–Kutta neural networks
Data-Centric Engineering, 2021 Model order reduction (MOR) methods enable the generation of real-time-capable digital twins, with the potential to unlock various novel value streams in industry.
Qinyu Zhuang +3 more
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Second-Order Model Reduction Based on Gramians
Journal of Control Science and Engineering, 2012 Some new and simple Gramian-based model order reduction algorithms are presented on second-order linear dynamical systems, namely, SVD methods. Compared to existing Gramian-based algorithms, that is, balanced truncation methods, they are competitive and ...
Cong Teng
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Parameterized Model Order Reduction
, 2015 This Chapter introduces parameterized, or parametric, Model Order Reduction (pMOR). The Sections are offered in a prefered order for reading, but can be read independently. Section 5.1, written by Jorge Fernández Villena, L. Miguel Silveira, Wil H.A. Schilders, Gabriela Ciuprina, Daniel Ioan and Sebastian Kula, overviews the basic principles for pMOR ...
Ciuprina, Gabriela +11 more
openaire +3 more sources
Reusing Preconditioners in Projection Based Model Order Reduction Algorithms
IEEE Access, 2020 Dynamical systems are pervasive in almost all engineering and scientific applications. Simulating such systems is computationally very intensive. Hence, Model Order Reduction (MOR) is used to reduce them to a lower dimension.
Navneet Pratap Singh, Kapil Ahuja
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Energy preserving model order reduction of the nonlinear Schr\"odinger equation [PDF]
, 2018 An energy preserving reduced order model is developed for two dimensional nonlinear Schr\"odinger equation (NLSE) with plane wave solutions and with an external potential.
Karasözen, Bülent, Uzunca, Murat
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Stabilizing a CFD model of an unstable system through model reduction [PDF]
Modeling, Identification and Control, 2006 We demonstate stabilization of a computational fluid dynamics model of an unstable system. The unstable heating of a two-dimensional plate is used as a case study. Active control is introduced by cooling parts of the boundaries of the plate.
Svein Hovland, Jan T. Gravdahl
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Arnoldi model order reduction for electromagnetic wave scattering computation [PDF]
, 2007 This paper presents a model order reduction (MOR) algorithm for the volume integral equation formulation of electromagnetic wave scattering. We apply the Arnoldi algorithm to circumvent the computational complexity associated with the numerical solution ...
Bradley, Patrick +2 more
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Model Order Reduction Technique Applied on Harmonic Analysis of a Submerged Vibrating Blade
International Journal of Applied Mechanics and Engineering, 2019 As part of an ongoing study into hydropower runner failure, a submerged, vibrating blade is investigated both experimentally and numerically. The numerical simulations performed are fully coupled acoustic-structural simulations in ANSYS Mechanical.
E. Tengs +3 more
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