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  <abstract type="Summary">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.&lt;eng&gt;</abstract>
  <abstract type="Summary">In dieser Arbeit wird die Anwendung von Methoden der mathematischen Modellordnungsreduktion (MOR) und der parametrischen Modellordnungsreduktion (pMOR) zur Generierung präziser kompakter Modelle von Energy Harvestern vorgestellt. Im Unterschied zu konventionellen nicht-parametrischen MOR-Ansätzen, werden pMOR-Methoden verwendet, um ein parametrisches Modell reduzierter Ordnung (pROM) zu konstruieren, dieses Vorgehen ermöglicht, die vordefinierten Parameter, z.B. Randbedingungen, Materialeigenschaften oder geometrische Parameter, in symbolischer Form innerhalb eines pROM zu erhalten.&lt;ger&gt;</abstract>
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  <note type="statement of responsibility">vorgelegt von Chengdong Yuan</note>
  <note>GutachterInnen: Tamara Bechtold (Jade University of Applied Sciences) ; Dennis Hohlfeld (University of Rostock) ; Jan Mehner (Chemnitz University of Technology)</note>
  <note type="thesis">Dissertation Universität Rostock 2024</note>
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      <title>Parametric model order reduction of miniaturized energy harvesting modules</title>
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    <identifier type="local">(DE-627)1920204032</identifier>
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      <namePart>Yuan, Chengdong, 1992 - </namePart>
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