Results 31 to 40 of about 4,816,952 (284)
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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Multipoint model order reduction of delayed PEEC systems [PDF]
, 2011 We present a new model order reduction technique for electrically large systems with delay elements, which can be modeled by means of neutral delayed differential equations.
Antonini, Giulio +5 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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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
core +1 more source
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
Reduced order modeling of delayed PEEC circuits [PDF]
, 2011 We propose a novel model order reduction technique that is able to accurately reduce electrically large systems with delay elements, which can be described by means of neutral delayed differential equations.
Antonini, Giulio +5 more
core +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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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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