Simulation and Optimal Design for RF MEMS Cantilevered Beam Switch

Gong, Yanjue; Zhao, Fu; Hong-bing, Xin; Lin, Jianzhong; Bai, Qiao

doi:10.1109/fcc.2009.45

Cited by 9 publications

(2 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As far as RF MEMS devices are concerned, ANNs have been applied as a modelling tool about for a decade [17][18][19][20][21][22][23][24][25]. They have mostly been applied for modelling the device membrane characteristics.…”

Section: Introductionmentioning

confidence: 99%

“…They have mostly been applied for modelling the device membrane characteristics. Several publications refer to neural modelling of RF MEMS switches [17,20,[23][24][25]. In most of the referred applications, ANNs were exploited to model dependence of the switch scattering (S-) parameters and/or switch resonant frequency on the dimensions of membrane and frequency.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Artifical neural networks in RF MEMS switch modelling

et al. 2016

View full text Add to dashboard Cite

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 modelling tool providing similar accuracy as standard commercial simulation packages. This paper gives an overview of the applications of artificial neural networks in modelling 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 specified requirements for the switch characteristics.

show abstract