Moment Matching Based Model Reduction for LPV State-Space Models
We present a novel algorithm for reducing the state dimension, i.e. order, of linear parameter varying (LPV) discrete-time state-space (SS) models with affine dependence on the scheduling variable.
Bastug, Mert +5 more
core +1 more source
Evolve Filter Stabilization Reduced-Order Model for Stochastic Burgers Equation
In this paper, we introduce the evolve-then-filter (EF) regularization method for reduced order modeling of convection-dominated stochastic systems. The standard Galerkin projection reduced order model (G-ROM) yield numerical oscillations in a convection-
Xuping Xie +2 more
doaj +1 more source
Reduced-order modeling of soft robots
We present a general strategy for the modeling and simulation-based control of soft robots. Although the presented methodology is completely general, we restrict ourselves to the analysis of a model robot made of hyperelastic materials and actuated by cables or tendons. To comply with the stringent real-time constraints imposed by control algorithms, a
Chenevier, Jean +4 more
openaire +8 more sources
Reduced order models based on pod method for schrödinger equations
Reduced-order models (ROM) are developed using the proper orthogonal decomposition (POD) for one dimensional linear and nonlinear Schrödinger equations. The main aim of this paper is to study the accuracy and robustness of the ROM approximations.
Gerda Jankevičiutė +3 more
doaj +1 more source
Progressive construction of a parametric reduced-order model for PDE-constrained optimization [PDF]
An adaptive approach to using reduced-order models as surrogates in PDE-constrained optimization is introduced that breaks the traditional offline-online framework of model order reduction.
Farhat, Charbel, Zahr, Matthew J.
core
An orifice shape-based reduced order model of patient-specific mitral valve regurgitation
Mitral valve regurgitation (MR) is one of the most prevalent valvular heart diseases. Its quantitative assessment is challenging but crucial for treatment decisions.
J. Franz +12 more
doaj +1 more source
Advanced System-Level Model Reduction Method for Multi-Converter DC Power Systems
For dynamic stability analysis and instability mechanism understanding of multi-converter medium voltage DC power systems with droop-based double-loop control, an advanced system-level model reduction method is proposed.
Lin Zhu +7 more
doaj +1 more source
Development of a Reduced Order Model of Solar Heat Gains Prediction
The aim of this study was to elaborate and validate a reduced order model able to forecast solar heat gains as a function of the architectural parameters that determine the solar heat gains.
Meril Tamm +5 more
doaj +1 more source
The reduced order model problem in distributed parameter systems adaptive identification and control [PDF]
The reduced order model problem in distributed parameter systems adaptive identification and control is investigated. A comprehensive examination of real-time centralized adaptive control options for flexible spacecraft is ...
Johnson, C. R., Jr., Lawrence, D. A.
core +4 more sources
Fidelity susceptibility in the two-dimensional spin-orbit models
We study the quantum phase transitions in the two-dimensional spin-orbit models in terms of fidelity susceptibility and reduced fidelity susceptibility.
K. I. Kugel +4 more
core +1 more source

