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Systematic development of nonlinear analog circuit macromodels through successive operator composition and nonlinear model decoupling
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Source Annual ACM IEEE Design Automation Conference archive
Proceedings of the 43rd annual Design Automation Conference table of contents
San Francisco, CA, USA
SESSION: Session 57: new ideas in analog/RF modeling and simulation table of contents
Pages: 1023 - 1028  
Year of Publication: 2006
ISBN:1-59593-381-6
Authors
Ying Wei  Stony Brook University, Stony Brook, NY
Alex Doboli  Stony Brook University, Stony Brook, NY
Sponsors
SIGDA: ACM Special Interest Group on Design Automation
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 3,   Downloads (12 Months): 19,   Citation Count: 1
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ABSTRACT

This paper presents a systematic methodology for developing structural nonlinear macromodels for analog circuits. The methodology includes two steps: first, a nonlinear system is represented as a system with nonlinear inputs and linearly coupled blocks. Then, the linear couplings are removed. The methodology also uses a novel description of circuit nonlinearities as a successive composition of three operators. The generated nonlinear models are scalable, tunable according to the required accuracy, and offer insight into the circuit operation.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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