Results 41 to 50 of about 31,410,548 (207)
Data-Driven Model Reduction and Transfer Operator Approximation [PDF]
Journal of nonlinear science, 2017 In this review paper, we will present different data-driven dimension reduction techniques for dynamical systems that are based on transfer operator theory as well as methods to approximate transfer operators and their eigenvalues, eigenfunctions, and ...
Stefan Klus +6 more
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A Survey of Projection-Based Model Reduction Methods for Parametric Dynamical Systems
SIAM Review, 2015 United States. Air Force Office of Scientific Research (Computational Mathematics Grant FA9550-12-1-0420)
P. Benner, S. Gugercin, K. Willcox
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Model reduction for a power grid model
Journal of Computational Dynamics, 2022 <p style='text-indent:20px;'>We examine the complexity of constructing reduced order models for subsets of the variables needed to represent the state of the power grid. In particular, we apply model reduction techniques to the DeMarco-Zheng power grid model. We show that due to the oscillating nature of the solutions and the absence of timescale
Jing Li, Panos Stinis
openaire +4 more sources
Space-time least-squares Petrov-Galerkin projection for nonlinear model reduction [PDF]
SIAM Journal on Scientific Computing, 2017 This work proposes a space--time least-squares Petrov--Galerkin (ST-LSPG) projection method for model reduction of nonlinear dynamical systems.
Youngsoo Choi, K. Carlberg
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Conservative model reduction for finite-volume models [PDF]
Journal of Computational Physics, 2017 This work proposes a method for model reduction of finite-volume models that guarantees the resulting reduced-order model is conservative, thereby preserving the structure intrinsic to finite-volume discretizations.
K. Carlberg +2 more
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Paper Machine Modeling at Norske Skog Saugbrugs: A Mechanistic Approach [PDF]
Modeling, Identification and Control, 2002 In this paper a mechanistic model of a paper machine is presented. The model is developed as a foundation for the control of three selected variables; the basis weight, the paper ash content, and the white water total concentration (or wire tray total ...
Tor A. Hauge, Bernt Lie
doaj +1 more source
FUZZY CONTROLLER OF MODEL REDUCTION DISTILLATION COLUMN WITH MINIMAL RULES [PDF]
Applied Computer Science, 2020 In this paper the control of a binary distillation column is described. This con-trol is done with fuzzy logic, one with PI- like fuzzy controller and the other with modified PI fuzzy controller, using the minimal rules for fuzzy pro-cessing.
Nasir ALAWAD, Afaf ALSEADY
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Projection-based model reduction: Formulations for physics-based machine learning
Computers & Fluids, 2019 This paper considers the creation of parametric surrogate models for applications in science and engineering where the goal is to predict high-dimensional output quantities of interest, such as pressure, temperature and strain fields.
Renee C. Swischuk +3 more
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Data-driven model reduction, Wiener projections, and the Koopman-Mori-Zwanzig formalism
Journal of Computational Physics, 2019 Model reduction methods aim to describe complex dynamic phenomena using only relevant dynamical variables, decreasing computational cost, and potentially highlighting key dynamical mechanisms.
K. Lin, F. Lu
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Adaptive Nonlinear Model Reduction for Fast Power System Simulation [PDF]
IEEE Transactions on Power Systems, 2017 The paper proposes a new adaptive approach to power system model reduction for fast and accurate time-domain simulation. This new approach is a compromise between linear model reduction for faster simulation and nonlinear model reduction for better ...
D. Osipov, K. Sun
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