DocumentCode
2682710
Title
Computing Linear and Nonlinear Normal Modes under Interval (and Fuzzy) Uncertainty
Author
Kosheleva, Olga ; Shpak, Max ; Campos, Marcilia Andrade ; Dimuro, Graçaliz Pereira ; Costa, Antônio Carlos da Rocha
Author_Institution
Texas Univ., El Paso, TX
fYear
2006
fDate
3-6 June 2006
Firstpage
611
Lastpage
616
Abstract
For linear systems, it is often possible to combine the original variables into linear combinations ("normal modes") that evolve independently on each other. The transformation to such normal models makes the analysis of the corresponding systems much easier. In this paper, we analyze how this easiness can be extended to nonlinear systems. We also analyze how the results of this analysis are affected by interval and fuzzy uncertainty
Keywords
approximation theory; fuzzy set theory; genetic algorithms; linear systems; nonlinear systems; fuzzy uncertainty; interval uncertainty; linear systems; nonlinear normal modes; nonlinear systems; Bioinformatics; Computer aided software engineering; Eigenvalues and eigenfunctions; Frequency; Fuzzy systems; Genomics; Linear approximation; Linear systems; Nonlinear systems; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Information Processing Society, 2006. NAFIPS 2006. Annual meeting of the North American
Conference_Location
Montreal, Que.
Print_ISBN
1-4244-0363-4
Electronic_ISBN
1-4244-0363-4
Type
conf
DOI
10.1109/NAFIPS.2006.365479
Filename
4216872
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