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Survey and Evaluation of Automated Model Generation Techniques for High Level Modeling and High Level Fault Modeling

Xia, Likun and Farooq, Muhammad Umer and Bell, Ian M. and Hussin, Fawnizu Azmadi and Malik, Aamir Saeed (2013) Survey and Evaluation of Automated Model Generation Techniques for High Level Modeling and High Level Fault Modeling. [Citation Index Journal]

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Official URL: http://dx.doi.org/10.1007/s10836-013-5401-0

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.

Item Type:Citation Index Journal
Impact Factor:0.454
Subjects:Q Science > Q Science (General)
T Technology > T Technology (General)
Academic Subject One:Academic Department - Electrical And Electronics - Communications - Digital Communications - Digital Signal Processing
Departments / MOR / COE:Centre of Excellence > Center for Intelligent Signal and Imaging Research
Research Institutes > Institute for Health Analytics
ID Code:10881
Deposited By: Dr Aamir Saeed Malik
Deposited On:16 Dec 2013 23:48
Last Modified:16 Dec 2013 23:48

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