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Criterios de robustez para sistemas lineales

Authors: Franco, J. L.; Vélez, C. M.;

Criterios de robustez para sistemas lineales

Abstract

Al construir un modelo de un sistema, éste siempre incluye algún grado de incertidumbre con respecto al sistema real y a su entorno. El sistema puede cambiar de manera inesperada o estar sujeto a perturbaciones inesperadas. Debido a factores como los cambios en los parámetros, las dinámicas y retardos no modeladas, los cambios en los puntos de operación, el ruido en los sensores o las perturbaciones no predichas, el modelo de un proceso no puede ser una representación completamente acertada del sistema real [1].

Country
Colombia
Related Organizations
Keywords

sistemas lineales

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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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