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Large-Scale Minimization of the Pseudospectral Abscissa (Matlab Software)

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 15 Aug 2022Publisher:Zenodo
Authors: Emre Mengi; Nicat Aliyev;

doi: 10.5281/zenodo.6992091 , 10.5281/zenodo.6992092

Large-Scale Minimization of the Pseudospectral Abscissa (Matlab Software)

Abstract

This Matlab software is intended to minimize the pseudospectral abscissa of a matrix-valued function of large size dependent on parameters smoothly. It restricts the large matrix-valued function to small subspaces, and minimizes the pseudospectral abscissa of the resulting small matrix-valued functions. The algorithm is based on the solution of a sequence of such small problems. The subspaces are expanded gradually.

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Keywords

pseudospectral abscissa minimization, robust stability, continuous-time control system, eigenvalue optimization, large scale, stabilization

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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!
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