TY  - BOOK
AU  - Yuan, Chengdong
PY  - 2024
DA  - 2024//
TI  - Parametric model order reduction of miniaturized energy harvesting modules
PB  - Universität Rostock
CY  - Rostock
AB  - 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>
UR  - https://purl.uni-rostock.de/rosdok/id00004752
UR  - https://nbn-resolving.org/urn:nbn:de:gbv:28-rosdok_id00004752-5
UR  - https://d-nb.info/1361954299/34
UR  - https://doi.org/10.18453/rosdok_id00004752
DO  - 10.18453/rosdok_id00004752
LA  - English
N1  - vorgelegt von Chengdong Yuan
ID  - 1920199195
ER  -