An Automated Model Generation Approach for High Level Modelling

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 op...

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Main Authors: Xia, Likun, Bell, Ian, Wilkinson, Antony
Format: Conference or Workshop Item
Language:English
Published: 2008
Subjects:
Online Access:http://scholars.utp.edu.my/id/eprint/2782/
http://scholars.utp.edu.my/id/eprint/2782/1/WCE08.PDF
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author Xia, Likun
Bell, Ian
Wilkinson, Antony
author_facet Xia, Likun
Bell, Ian
Wilkinson, Antony
author_sort Xia, Likun
building UTP Institutional Repository
collection Online Access
description 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.
first_indexed 2025-11-13T07:28:19Z
format Conference or Workshop Item
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institution Universiti Teknologi Petronas
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language English
last_indexed 2025-11-13T07:28:19Z
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spelling oai:scholars.utp.edu.my:27822017-01-19T08:26:13Z http://scholars.utp.edu.my/id/eprint/2782/ An Automated Model Generation Approach for High Level Modelling Xia, Likun Bell, Ian Wilkinson, Antony TK Electrical engineering. Electronics Nuclear engineering 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. 2008-07 Conference or Workshop Item PeerReviewed application/pdf en http://scholars.utp.edu.my/id/eprint/2782/1/WCE08.PDF 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. http://www.iaeng.org/publication/WCE2008/
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Xia, Likun
Bell, Ian
Wilkinson, Antony
An Automated Model Generation Approach for High Level Modelling
title An Automated Model Generation Approach for High Level Modelling
title_full An Automated Model Generation Approach for High Level Modelling
title_fullStr An Automated Model Generation Approach for High Level Modelling
title_full_unstemmed An Automated Model Generation Approach for High Level Modelling
title_short An Automated Model Generation Approach for High Level Modelling
title_sort automated model generation approach for high level modelling
topic TK Electrical engineering. Electronics Nuclear engineering
url http://scholars.utp.edu.my/id/eprint/2782/
http://scholars.utp.edu.my/id/eprint/2782/
http://scholars.utp.edu.my/id/eprint/2782/1/WCE08.PDF