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Arnoldi Algorithm Based Krylov Subspace Technique for MEMS Model Order Reduction

机译:基于Arnoldi算法的Krylov子空间技术的MEMS模型降阶。

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摘要

Rapid modeling and simulation of the overall behavior of MEMS devices by computer-aided design tools are required on account of high integration and system functional diversification of MEMS components, especially current complex system are integrated with both functional structure of MEMS devices and circuits for mixed-signal processing unit, such as system on chip (SOC) and system in package (SIP) representatively. System-level simulation methods based on macromodel which can get behavior characteristic of MEMS have become a famous research field specific to the across multiple coupled energy domains.
机译:由于MEMS组件的高度集成和系统功能多样化,因此需要通过计算机辅助设计工具对MEMS器件的整体性能进行快速建模和仿真,特别是当前复杂的系统已与MEMS器件的功能结构和电路混合在一起,信号处理单元,例如代表片上系统(SOC)和封装中系统(SIP)。能够获得MEMS行为特征的基于宏模型的系统级仿真方法已经成为跨多个耦合能量域的著名研究领域。

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