@Book{1920199195,
author="Yuan, Chengdong",
title="Parametric model order reduction of miniaturized energy harvesting modules",
year="2024",
address="Rostock",
abstract="This thesis presents the application of mathematical model order reduction (MOR) and parametric model order reduction (pMOR) methods for generating accurate surrogates of energy harvesters. Differing from conventional non-parametric MOR approaches, multivariate moment matching-, matrix interpolation-, and algebraic parameterization-based pMOR methods are used to construct a parametric reduced-order model (pROM), which enables the preservation of the predefined parameters, e.g., boundary conditions, material properties, or geometrical parameters, in symbolic form within a pROM.<eng>",
school="Universit{\"a}t Rostock",
note="vorgelegt von Chengdong Yuan",
note="GutachterInnen: Tamara Bechtold (Jade University of Applied Sciences) ; Dennis Hohlfeld (University of Rostock) ; Jan Mehner (Chemnitz University of Technology)",
note="Dissertation Universit{\"a}t Rostock 2024",
doi="10.18453/rosdok_id00004752",
url="https://purl.uni-rostock.de/rosdok/id00004752",
url="https://nbn-resolving.org/urn:nbn:de:gbv:28-rosdok_id00004752-5",
url="https://d-nb.info/1361954299/34",
url="https://doi.org/10.18453/rosdok_id00004752",
language="English"
}