Please use this identifier to cite or link to this item: http://inaoe.repositorioinstitucional.mx/jspui/handle/1009/2378
Richardson extrapolation-based sensitivity análisis in the multi-objective optimization of analog circuits
Ivick Guerra Gomez
ESTEBAN TLELO CUAUTLE
Acceso Abierto
Atribución-NoComercial-SinDerivadas
Sensitivity analysis
Circuit optimization
Evolutionary algorithms
Richardson extrapolation
Analog integrated circuits
The feasible solutions provided by a multi-objective evolutionary algorithm (MOEA) in the optimal sizing of analog integrated circuits (ICs) can be very sensitive to process variations. Therefore, to select the optimal sizes of metal–oxide–semiconductor field-effect-transistors (MOSFETs) but with low sensitivities, we propose to perform multi-parameter sensitivity analysis. However, since MOEAs generate feasible solutions without an explicit equation, then we show the application of Richardson extrapolation to approximate the partial derivatives associated to the sensitivities of the performances of an amplifier with respect to the sizes of every MOSFET. The proposed multi-parameter sensitivity analysis is verified through the optimization of a recycled folded cascode (RFC) operational transconductance amplifier (OTA). We show the behavior of the multi-parameter sensitivity approach versus generations. The final results show that the optimal sizes, selected after executing the sensitivity approach, guarantee the lowest sensitivities values while improving the performances of the RFC OTA.
Applied Mathematics and Computation
01-10-2013
Artículo
Inglés
Estudiantes
Investigadores
Público en general
Guerra-Gómez, I., et al., (2013), Richardson extrapolation-based sensitivity análisis in the multi-objective optimization of analog circuits, Applied Mathematics and Computation, Vol. 222:167-176
ELECTRÓNICA
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Appears in Collections:Artículos de Electrónica

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