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DLR publication server
Conference object . 2002
Data sources: DLR publication server
DLR publication server
Conference object . 2002
Data sources: DLR publication server
Claim

Singular Value and Structured Singular Value Bounds in Parameter Space

descriptionPublicationkeyboard_double_arrow_right Conference object 01 Jan 2002 Germany English
Authors: Bajcinca, N.; Muhler, M.;

Singular Value and Structured Singular Value Bounds in Parameter Space

Abstract

This contribution discusses the mapping of singular value (sigma-) bounds and structured singuar value (mu-) bounds into parameter space. The sigma- and mu- mapping problem is defined to enclose robut design and analysis in parameter space. Real, complex and mixed uncertainty structures are considered. While the singular values enjoy nice continuity properties and bound mapping is rather principally straightforward, the structured singular value bound mapping is more involved. Discontinuity properties of mu-measures w.r.t. parametric uncertainties are further discussed in terms of bifurcation mapping conditions.

Country
Germany
Related Organizations
Keywords

Institut für Robotik und Mechatronik (bis 2012), structured singular values, Singular values, H infinity, parameter space, robustness margin

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green