Passive Reduced-Order Macromodeling Algorithm for Microelectromechanical Systems
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Bibliographic record
Abstract
<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> In this paper, we present a passive reduced-order macromodeling algorithm for second-order dynamic systems of linear microelectromechanical systems (MEMS) devices. The proposed reduction algorithm is based on congruent transformations. The system equations of MEMS devices, given by finite-element methods (FEMs), are converted to state-space forms that are compatible with passive Krylov subspace methods. To achieve this, a modified matrix equation is proposed for second-order MEMS dynamics. In addition, the generalized procedure is provided for first-order heat transfer problems and second-order structure dynamic problems to ensure that the discretized FEM system satisfies all the necessary conditions to guarantee the passivity of the reduced-order system. Finally, numerical examples are provided to demonstrate the validity of the proposed passive reduction technique. <formula formulatype="inline"><tex>$\hfill$</tex> </formula>[2006-0224] </para>
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| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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