A Robust Approach for Automated Model Generation

Xia, Likun and Bell, Ian and Wilkinson, Antony (2009) A Robust Approach for Automated Model Generation. In: Design & Technology of Integrated Systems in Nanoscal Era, 2009. DTIS '09. 4th International Conference on , 6-9 April 2009, Cairo .

[thumbnail of DTIS09.PDF] PDF
DTIS09.PDF - Accepted Version
Restricted to Registered users only

Download (6MB)
Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumb...

Abstract

Over the last few years, automated model generation approaches have rapidly gained importance as a sustainable methodology 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. The objective of using delta operator is to achieve transient impulse invariant transform. 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
Depositing User: Dr. L Xia
Date Deposited: 02 Nov 2010 04:57
Last Modified: 19 Jan 2017 08:25
URI: http://scholars.utp.edu.my/id/eprint/2711

Actions (login required)

View Item
View Item