%0 Book
%T Parametric model order reduction of miniaturized energy harvesting modules
%A Yuan, Chengdong
%D 2024
%C Rostock
%C Universität Rostock
%G English
%F 1920199195
%O vorgelegt von Chengdong Yuan
%O GutachterInnen: Tamara Bechtold (Jade University of Applied Sciences) ; Dennis Hohlfeld (University of Rostock) ; Jan Mehner (Chemnitz University of Technology)
%O Dissertation Universität Rostock 2024
%X 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>
%L 000
%9 theses
%9 Text
%9 Hochschulschrift
%R 10.18453/rosdok_id00004752
%U https://purl.uni-rostock.de/rosdok/id00004752
%U https://nbn-resolving.org/urn:nbn:de:gbv:28-rosdok_id00004752-5
%U https://d-nb.info/1361954299/34
%U https://doi.org/10.18453/rosdok_id00004752