Automated Model Generation Algorithm for High Level Fault Modeling
High level modeling (HLM) for operational amplifiers (opamps) has been previously carried out successfully using models generated by published automated model generation (AMG) approaches. Furthermore, high level fault modeling (HLFM) has been shown to work reasonably well using manually designed fau...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
IEEE
2010
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| Subjects: | |
| Online Access: | http://eprints.utp.edu.my/2710/1/TCAD_10.pdf http://ieeexplore.ieee.org http://eprints.utp.edu.my/2710/ |
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| Summary: | High level modeling (HLM) for operational amplifiers (opamps) has been previously carried out successfully using models generated by published automated model generation (AMG) approaches. Furthermore, high level fault modeling (HLFM) has been shown to work reasonably well using manually designed fault models. However, no evidence shows that published AMG approaches based on opamps have been used in HLFM.
This paper describes HLFM for analog circuits using an adaptive self-tuning algorithm called Multiple Model Generation System using Delta operator (MMGSD). The generation algorithms and simulation models were written in MATLAB and the hardware description language VHDL-AMS respectively. The properties of these self-tuning algorithms were investigated by modeling CMOS opamps, and comparing simulations using the HLFM against those of the original SPICE circuit utilizing transient analysis. Results show that the models can handle both linear and nonlinear fault situations with better accuracy than previously published HLFMs.
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