An Automated Model Generation Approach for High Level Modelling

Xia, Likun and Bell, Ian and Wilkinson, Antony (2008) An Automated Model Generation Approach for High Level Modelling. In: World Congress on Engineering (WCE) 2008, July2-4, 2008, London, UK.

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Over the last few years automated model generation has become an increasingly important component of methodologies for verification 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 using Delta operator (MMGSD) 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 MMGSD are presented for simple two-input systems incorporating a two-stage CMOS operational amplifier (op amp). We demonstrate the generated models are able to model various circuits with good accuracy.

Item Type:Conference or Workshop Item (Paper)
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments / MOR / COE:Research Institutes > Megacities
Research Institutes > Institute for Health Analytics
Departments > Electrical & Electronic Engineering
ID Code:2782
Deposited By: Dr. L Xia
Deposited On:23 Nov 2010 00:11
Last Modified:19 Jan 2017 08:26

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