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primary topic: Survey and evaluation of automated model generation techniques for high level modeling and high level fault modeling

Survey and evaluation of automated model generation techniques for high level modeling and high level fault modeling
type: AcademicArticle
type: Article
abstract: It is known that automated model generation (AMG) techniques for linear systems are sufficiently mature to handle linear systems during high level modeling (HLM). Other AMG techniques have been developed for various levels of nonlinear behavior and to focus on specific issues such as high level fault modeling (HLFM). However, no single nonlinear AMG technique exists which can be confidently adapted for any nonlinear system. In this paper, a survey on AMG techniques over the last two decades is conducted. The techniques are classified into two main areas: system identification (SI) based AMG and model order reduction (MOR) based AMG. Overall, the survey reveals that more advanced research for AMG techniques is required to handle strongly nonlinear systems during HLFM. © 2013 Springer Science+Business Media New York.
date: 2013
volume: 29
issue: 6
is part of: Journal of Electronic Testing: Theory and Applications (JETTA)
status: peerReviewed
status: published
author list: authors
type: EPrint
type: ArticleEPrint
is part of: repository

Journal of Electronic Testing: Theory and Applications (JETTA)
type: Collection
issn: 09238174

M.U. Farooq
type: Person
given name: M.U.
family name: Farooq

L. Xia
type: Person
given name: L.
family name: Xia

A.S. Malik
type: Person
given name: A.S.
family name: Malik

I.M. Bell
type: Person
given name: I.M.
family name: Bell

F.A. Hussin
type: Person
given name: F.A.
family name: Hussin

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primary topic: Survey and evaluation of automated model generation techniques for high level modeling and high level fault modeling