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Stabilizing schemes for piecewise-linear reduced order models via projection and weighting functions
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Source International Conference on Computer Aided Design archive
Proceedings of the 2007 IEEE/ACM international conference on Computer-aided design table of contents
San Jose, California
SESSION: Model order reduction for parameterized and non-linear systems table of contents
Pages 860-866  
Year of Publication: 2007
ISBN ~ ISSN:1092-3152 , 1-4244-1382-6
Authors
Bradley N Bond  Massachusetts Institute of Technology, Cambridge, MA
Luca Daniel  Massachusetts Institute of Technology, Cambridge, MA
Sponsors
: IEEE CASS/CANDE
SIGDA: ACM Special Interest Group on Design Automation
IEEE-CS\DATC : IEEE Computer Society
CEDA : Council on Electronic Design Automation
Publisher
IEEE Press  Piscataway, NJ, USA
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Downloads (6 Weeks): 5,   Downloads (12 Months): 29,   Citation Count: 1
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ABSTRACT

In this paper we present several results concerning the stabilization of piecewise-linear reduced order models. We include proofs of internal and external stability for models whose system matrices possess special structures. We then introduce a new projection scheme, and a new set of weighting functions which allow us to extend some of these results to piecewise-linear systems comprised of arbitrary matrices, at least one of which is Hurwitz. Included are an algorithm for creating switching piecewise-linear reduced models comprised of globally exponentially stable systems, and stable simulation results for a system which produces unstable results when using the standard TPWL method.


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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M. Rewienski and J. White. A trajectory piecewise-linear approach to model order reduction and fast simulation of nonlinear circuits and micromachined devices. IEEE Trans. Computer-Aided Design, 22(2):155--70, Feb 2003.
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N. Dong and J. Roychowdhury. Automated extraction of broadly applicable nonlinear analog macromodels from spice-level descriptions. In Proc. of the IEEE Custom Integrated Circuits Conference, October 2004.
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Collaborative Colleagues:
Bradley N Bond: colleagues
Luca Daniel: colleagues