ARTIFICAL NEURAL NETWORKS IN RF MEMS SWITCH MODELING

Zlatica Marinkovic, Vera Markovic, Tomislav Ciric, Larissa Vietzorreck, Olivera Pronic-Rancic

DOI Number
10.2298/FUEE1602177M
First page
177
Last page
191

Abstract


The increased growth of the applications of RF MEMS switches in modern communication systems has created an increased need for their accurate and efficient models. Artificial neural networks have appeared as a fast and efficient modeling tool providing similar accuracy as the standard commercial simulation packages. This paper gives an overview of the applications of artificial neural networks in modeling of RF MEMS switches, in particular of the capacitive shunt switches, proposed by the authors of the paper. Models for the most important switch characteristics in electrical and mechanical domains are considered, as well as the inverse models aimed to determine the switch bridge dimensions for given requirements for the switch characteristics.

Keywords

actuation voltage, artificial neural networks, resonant frequency, RF MEMS, switch

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References


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