Title :
A novel approach for automated model generation
Author :
Xia, Likun ; Bell, I.M. ; Wilkinson, A.J.
Author_Institution :
Dept. of Eng., Univ. of Hull, Kingston upon Hull
Abstract :
Automatic approaches for macromodel generation from SPICE-level descriptions have been of great interest over the last few years for the design of large, complex mix- signal SoCs (system-on-chips) and SiPs (system-in-packages). In this paper a novel approach termed multiple model generation system (MMGS) is developed for extracting either single-input single-output (SISO) or multiple-input single-output (MISO) macromodels from a SPICE netlist. This model generation process detects nonlinearity through variations in output error. Examples of the application of MMGS are presented for simple two-input systems incorporating a two-stage CMOS operational amplifier (op amp).
Keywords :
CMOS integrated circuits; SPICE; mixed analogue-digital integrated circuits; operational amplifiers; system-in-package; system-on-chip; MISO macromodel generation; SPICE-level descriptions; automated model generation; complex mix- signal SoC; multiple model generation system; multiple-input single-output; single-input single-output; system-in-packages; system-on-chips; two-stage CMOS operational amplifier; Artificial neural networks; Differential amplifiers; Fuzzy logic; Hardware design languages; Mirrors; Operational amplifiers; Polynomials; Predictive models; SPICE; Semiconductor device modeling;
Conference_Titel :
Circuits and Systems, 2008. ISCAS 2008. IEEE International Symposium on
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4244-1683-7
Electronic_ISBN :
978-1-4244-1684-4
DOI :
10.1109/ISCAS.2008.4541465
